Keith Price Bibliography Site Model Registration, Georeference, Geo-Registeration, and Change Detection, Map Update

22.3.2 Site Model Registration, Georeference, Geo-Registeration, and Change Detection, Map Update

Chapter Contents (Back)
Remote Sensing. Registration. Change Detection. Aerial Image Analysis. See also Road Network Model Integration, Updating, and Change Detection. See also Localization -- Where is the robot, Where is the camera.

Bristor, C.L.,
The earth location of geostationary satellite imagery,
PR(2), No. 4, December 1970, pp. 269-270.
WWW Version. 0309
transformation of images onto standard map projections. BibRef

Hayes, L., Cracknell, A.P.,
Georeferencing and Registering Satellite Data for Monitoring Vegetation over Large Areas,
PRL(5), 1987, pp. 95-105. BibRef 8700

Perlant, F.P., and McKeown, D.M.,
Scene Registration in Aerial Image Analysis,
PhEngRS(56), No. 4, April 1990, pp. 481-493. BibRef 9004
Earlier: DARPA89(309-331). BibRef
And: CMU-CS-TR-89-127, March 1989. Using all the other work, recognize buildings and use them in registration and disparity computations. BibRef

Li, S.Z., Kittler, J.V., Petrou, M.,
Automatic Registration of Aerial Photographs and Digitised Maps,
OptEng(32), No. 6, 1993, pp. 1213-1221. BibRef 9300
Earlier:
Matching and Recognition of Road Networks from Aerial Images,
ECCV92(857-861).
Springer DOI Link BibRef

Bertram, S.[Sidney],
Automatic map compilation system,
US_Patent5,345,086, Sep 6, 1994
WWW Version. BibRef 9409

Müller, W.[Walt],
Geometric Refinement in Model Supported Positioning,
Radius97(103-110). BibRef 9700

Ely, R.W.[Richard W.], Lundgren, J.C.[James C.], Müller, W.J.[Walter J.],
Processes to Support Error Estimation for Model Supported Positioning,
SPIE(3072), April 1997, pp. 326-336. BibRef 9704

Ely, R.W.[Richard W.], di Girolamo, J.[Joseph],
Automated Model-to-Image Registration,
Radius97(111-116). BibRef 9700

Ely, R.W.[Richard W.], di Girolamo, J.[Joseph],
Model-to-SAR Image Registration,
SPIE(3072), April 1997, pp. 318-325. BibRef 9704

Choate, W.C.[William C.],
System and method for relating a passive sensor to a geographic environment,
US_Patent5,719,773, Feb 17, 1998
WWW Version. BibRef 9802

Ridd, M.K., Liu, J.J.,
A Comparison of Four Algorithms for Change Detection in an Urban Environment,
RSE(63), No. 2, February 1998, pp. 95-100. 9801
BibRef

Vosselman, G.[George], Veldhuis, H.[Henri],
Mapping by Dragging and Fitting of Wire-Frame Models,
PhEngRS(65), No. 7, July 1999, pp. 769. Interactive alignment of parametrized objects models to images. Match segments with the map database. BibRef 9907

Hsiao, H.W.[Han-Wen], Wong, K.W.[Kam W.],
Automatic Matching of Buildings and Corners,
PhEngRS(65), No. 7, July 1999, pp. 803. Match two vector files with different scales, different coordinate systems, and no cartographic labels. BibRef 9907

Plazanet, C.[Corinne], Bigolin, N.M.[Nara Martini], Ruas, A.[Anne],
Experiments with Learning Techniques for Spatial Model Enrichment and Line Generalization,
GeoInfo(2), No. 4, December 1998, pp. 315-333.
WWW Version. BibRef 9812

Sarkar, S.[Sudeep], Boyer, K.L.[Kim L.],
Quantitative Measures of Change Based on Feature Organization: Eigenvalues and Eigenvectors,
CVIU(71), No. 1, July 1998, pp. 110-136.
WWW Version. BibRef 9807
Earlier: CVPR96(478-483).
IEEE Abstract.
IEEE DOI Link Change Detection. Analysis of construction sites. BibRef

Murakami, H.[Hiroshi], Nakagawa, K.[Katsuto], Hasegawa, H.[Hiroyuki], Shibata, T.[Taku], Iwanami, E.[Eiji],
Change detection of buildings using an airborne laser scanner,
PandRS(54), No. 2-3, July 1999, pp. 148-152.
Elsevier DOI Link Acquire a digital surface model of urban areas. Simple comparison between DSMs acquired at different times detected building changes. BibRef 9907

Cobb, M.A.[Maria A.], Chung, M.J.[Miyi J.], Foley, III, H.[Harold], Petry, F.E.[Frederick E.], Shaw, K.B.[Kevin B.], Miller, H.V.[H. Vincent],
A Rule-based Approach for the Conflation of Attributed Vector Data,
GeoInfo(2), No. 1, March 1998, pp. 7-35.
WWW Version. BibRef 9803

Abdelguerfi, M.[Mahdi], Cooper, E.[Edgar], Wynne, C.[Christ], Shaw, K.B.[Kevin B.], Miller, H.V.[H. Vincent], Broome, R.[Robert], and Ray, B.[Barbara],
A Terrain Database Representation Based on an Extended Vector Product Format (EVPF),
CIKM96(xx). Vector product format no longer meets the modeling and simulation needs. Extends VPF to allow for TIN representations and integration of surface features with the terrain database. BibRef 9600

Metternicht, G.[Graciela],
Change detection assessment using fuzzy sets and remotely sensed data: an application of topographic map revision,
PandRS(54), No. 4, September 1999, pp. 221-233. 9911
BibRef

Huertas, A.[Andres], and Nevatia, R.[Ramakant],
Detecting Changes in Aerial Views of Man-Made Structures,
IVC(18), No. 8, 15 May 2000, pp. 583-596.
WWW Version. 0003
BibRef USC Computer Vision BibRef
Earlier: ICCV98(73-80).
IEEE DOI Link
PDF Version. BibRef
And: Radius97(319-334). BibRef
And: ARPA96(381-388). Change Detection. BibRef

Bejanin, M., Huertas, A., Medioni, G., and Nevatia, R.,
Model Validation for Change Detection,
WACV94(160-167).
IEEE Abstract. BibRef 9400 USC Computer Vision BibRef
And: ARPA94(I:287-294). BibRef USC Computer Vision Change Detection. BibRef

Huertas, A., Bejanin, M., and Nevatia, R.,
Model Registration and Validation,
Ascona95(33-42). BibRef 9500 USC Computer Vision BibRef

Chellappa, R., Burlina, P., Lin, C.L., Zhang, X., Davis, L.S., Rosenfeld, A.,
Site Model Based Image Registration and Change Detection,
UMD--Radius, June 1999.
Postscript Version. BibRef 9906

Chellappa, R., Zheng, Q., Davis, L.S., DeMenthon, D.F., and Rosenfeld, A.,
Site-Model-Based Change Detection and Image Registration,
DARPA93(205-216). Change Detection, Differencing. Register the image by warping it and substract the image. BibRef 9300

Chellappa, R., Zhang, X.P.[Xiao-Peng], Philippe, B.,
Automatic Image-to-Site Model Registration,
ICASSP96(XX) Ctr. for Automation Rsch. University of Maryland. BibRef 9603

Huang, Y.[Yishuo], Dewitt, B.A.[Bon A.],
Exploring Ground Truth from Given Photos by Applying a Model-Based Approach,
PhEngRS(66), No. 3, March 2000, pp. 281-286. image registration, feature correspondence and construction, and scene rendering. 0003
BibRef

Smits, P.C., Myers, W.L.,
Echelon Approach to Characterize and Understand Spatial Structures of Change in Multitemporal Remote Sensing Imagery,
GeoRS(38), No. 5, September 2000, pp. 2299-2309.
IEEE Top Reference. 0010
BibRef

Agouris, P.[Peggy], Beard, K.[Kate], Mountrakis, G.[Georgios], Stefanidis, A.[Anthony],
Capturing and Modeling Geographic Object Change: A SpatioTemporal Gazetteer Framework,
PandRS(55), No. 10, October 2000, pp. 1241-1250. The framework links an image repository with changes, to instances of geographic entities. 0010
BibRef

Mostafa, M.M.R.[Mohamed M.R.], Schwarz, K.P.[Klaus-Peter],
Multi-Sensor System for Airborne Image Capture and Georeferencing,
PhEngRS(66), No. 12, December 2000, pp. 1417-1424. The development and testing of an integrated system comprising a GPS/INS/digital camera 0101
BibRef

Hazel, G.G.,
Object-level change detection in spectral imagery,
GeoRS(39), No. 3, March 2001, pp. 553-561.
IEEE Top Reference. 0104
BibRef

Yamamoto, T., Hanaizumi, H., Chino, S.,
A change detection method for remotely sensed multispectral and multitemporal images using 3-D segmentation,
GeoRS(39), No. 5, May 2001, pp. 976-985.
IEEE Top Reference. 0106
BibRef

Krüger, W.[Wolfgang],
Robust and efficient map-to-image registration with line segments,
MVA(13), No. 1, 2001, pp. 38-50.
HTML Version. Map to image for planar scenes. Projective transfrom to align model line segments from a map with those from an image. 0108
BibRef

Butenuth, M.[Matthias], Straub, B.M.[Bernd-Michael], Heipke, C.[Christian], Willrich, F.[Felicitas],
Tree Supported Road Extraction from Arial Images Using Global and Local Context Knowledge,
CVS03(162 ff).
HTML Version. 0306
BibRef

Straub, B.M., Heipke, C.,
Automatic Extraction of Trees for 3D City Models from Images and Height Data,
Ascona01(267-277). Color infrared and DSM. Hypothesize tree and building regions, local analysis of tree regions. 0201
BibRef

Straub, B.M.[Bernd-M.],
Automatic Extraction of Trees from Aerial Images and Surface Models,
PIA05(xx-yy).
PDF Version. 0509
BibRef
Earlier:
Investigation of the MPEG-7 Homogeneuos Texture Descriptor for the Automatic Extraction of Trees,
PCV02(A: 351). 0305
BibRef

Heipke, C.[Christian], Straub, B.M.[Bernd M.],
Automatic Extraction and Updating of Vegetation Areas in GIS from Satellite Imagery,
ISPRSGIS99(167-174). BibRef 9900

Bonnefon, R., Dhérété, P., Desachy, J.,
Geographic information system updating using remote sensing images,
PRL(23), No. 9, July 2002, pp. 1073-1083.
Elsevier DOI Link 0205
BibRef

Bruzzone, L., Fernandez-Prieto, D.,
An adaptive semiparametric and context-based approach to unsupervised change detection multitemporal remote-sensing images,
IP(11), No. 4, April 2002, pp. 452-466.
IEEE DOI Link 0205
See also iterative approach to partially supervised classification problems, An. See also minimum-cost thresholding technique for unsupervised change detection, A. BibRef

Bruzzone, L., Fernandez-Prieto, D.,
An adaptive parcel-based technique for unsupervised change detection,
JRS(21), No. 4, March 2000, pp. 817. Uses the neighborhood to reduce noise. 0002
BibRef

Bruzzone, L., Fernández-Prieto, D.[Diego],
Automatic Analysis of the Difference Image for Unsupervised Change Detection,
GeoRS(38), No. 3, May 2000, pp. 1171-1182.
IEEE Top Reference. 0006
BibRef

Bruzzone, L.[Lorenzo], Fernández-Prieto, D.[Diego],
A partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images,
PRL(23), No. 9, July 2002, pp. 1063-1071.
Elsevier DOI Link 0205
BibRef

Yue, T.X., Chen, S.P., Xu, B., Liu, Q.S., Li, H.G., Liu, G.H., Ye, Q.H.,
A curve-theorem based approach for change detection and its application to Yellow River Delta,
JRS(23), No. 11, June 2002, pp. 2283-2292.
WWW Version. 0206
BibRef

Appel, M.[Mirko], Navab, N.[Nassir],
Registration of Technical Drawings and Calibrated Images for Industrial Augmented Reality,
MVA(13), No. 3, 2002, pp. 111-118.
HTML Version. 0208
BibRef
Earlier: WACV00(48-55).
IEEE Abstract. 0010
Really, registration of the drawing to a set of calibrated images. But the drawing is only the design, not actually what was built so there are differences. This is not really a map, but it has all the same issues. BibRef

Liu, X., Lathrop, Jr., R.G.,
Urban change detection based on an artificial neural network,
JRS(23), No. 12, June 2002, pp. 2513-2518. 0208
BibRef

Leclerc, Y.G.[Yvan G.], Luong, Q.T.[Q. Tuan], Fua, P.,
Self-Consistency and MDL: A Paradigm for Evaluating Point-Correspondence Algorithms, and Its Application to Detecting Changes in Surface Elevation,
IJCV(51), No. 1, January 2003, pp. 63-83.
WWW Version. 0211
BibRef

Leclerc, Y.G., Luong, Q.T., and Fua, P.V.,
A framework for detecting changes in terrain,
DARPA98(621-630).
PDF Version. BibRef 9800

Leclerc, Y.G.[Yvan G.], Luong, Q.T.[Q. Tuan], Fua, P.V.[Pascal V.], Miyajima, K.[Koji],
Detecting Changes in 3-D Shape using Self-Consistency,
CVPR00(I: 395-402).
IEEE Abstract.
IEEE DOI Link
PDF Version. 0005
Applies to DEM representation BibRef

Leclerc, Y.G.[Yvan G.],
Continuous Terrain Modeling from Image Sequences with Applications to Change Detection,
DARPA97(431-436).
PDF Version. BibRef 9700

Couteron, P.[Pierre],
Quantifying change in patterned semi-arid vegetation by Fourier analysis of digitized aerial photographs,
JRS(23), No. 17, September 2002, pp. 3407-3425.
WWW Version. 0211
BibRef

Foody, G.M.[Giles M.],
The Role of Soft Classification Techniques in the Refinement of Estimates of Ground Control Point Location,
PhEngRS(68), No. 9, September 2002, pp. 897-904.
WWW Version. 0304
A soft classification, used to provide information on sub-pixel land-cover composition that may be used to direct the estimation of the location of ground control points, is described. BibRef

Gluch, R.[Renee],
Urban Growth Detection Using Texture Analysis on Merged Landsat TM and SPOT-P Data,
PhEngRS(68), No. 12, December 2002, pp. 1283-1288.
WWW Version. 0304
A two-step texture analysis using digitally merged TM and SPOT-P data produces a binary "built/non-built" image identifying urban growth. BibRef

Hsu, S.C.[Stephen Charles], Samarasekera, S.[Supun],
Method and apparatus for performing geo-spatial registration using a Euclidean representation,
US_Patent6,587,601, Jul 1, 2003
WWW Version. BibRef 0307

Matei, B., Wildes, R.P., Hsu, S.C., Kumar, R., Samarasekera, S., Sawhney, H.S., Hanna, K.J.,
Robust Video Georegistration,
VideoRegister03(Chapter 8). BibRef 0300

Xiao, J.J.[Jiang-Jian], Cheng, H.[Hui], Han, F.[Feng], Sawhney, H.S.[Harpreet S.],
Geo-spatial aerial video processing for scene understanding and object tracking,
CVPR08(1-8).
IEEE DOI Link 0806
See also Vehicle detection and tracking in wide field-of-view aerial video. BibRef

Pope, A.R.[Art R.], Asmuth, J.C.[Jane C.], Kumar, R.[Rakesh], Sawhney, H.S.[Harpreet S.], Hsu, S.C.[Steve C.],
Registration of Video to Geo-Referenced Imagery,
ICPR98(Vol II: 1393-1400).
IEEE DOI Link 9808
BibRef

Sawhney, H.S.[Harpreet S.], Asmuth, J.C.[Jane C.],
Geospatial Registration,
DARPA97(849-856). BibRef 9700

Matei, B., Wildes, R.P., Hsu, S.C., Lehman, W.B., Hirvonen, D.J., Kumar, R., Zhao, W.Y., Hansen, M.,
Real-Time Video Georegistration,
CVPR01(Demos). 0110
BibRef

Wildes, R.P.[Richard P.], Hirvonen, D.J.[David J.], Hsu, S.C.[Steven C.], Kumar, R.[Rakesh], Lehman, W.B.[W. Brian], Matei, B.[Bogdan], Zhao, W.Y.[Wen-Yi],
Video Georegistration: Algorithm and Quantitative Evaluation,
ICCV01(II: 343-350).
IEEE DOI Link 0106
Video with the terrain. BibRef

Hirvonen, D.J., Matei, B., Wildes, R.P., Hsu, S.C.,
Video to Reference Image Alignment in the Presence of Sparse Features and Appearance Change,
CVPR01(II:366-373).
IEEE Abstract. 0110
BibRef

Sheikh, Y., Khan, S., Shah, M., and Cannata, R.W.,
Geodetic Alignment of Aerial Video Frames,
VideoRegister03(Chapter 7). BibRef 0300

Blask, S.G.[Steven G.], van Workum, J.A.[John A.], Cannata, R.W.[Richard W.],
An Autonomous 3D Photogrammetric Approach to Airborne Video Geo-Registration,
VideoRegister01(xx-yy). 0106
BibRef

Seto, K.C.[Karen C.], Liu, W.G.[Wei-Guo],
Comparing ARTMAP Neural Network with the Maximum-Likelihood Classifier for Detecting Urban Change,
PhEngRS(69), No. 9, September 2003, pp. 981-990. An ARTMAP neural network was used to identify urban land-use change with different class resolutions; it generated more accurate results when compared to a Bayesian maximum-likelihood classifier.
WWW Version. 0309
BibRef

Knudsen, T.[Thomas], Olsen, B.P.[Brian P.],
Automated Change Detection for Updates of Digital Map Databases,
PhEngRS(69), No. 11, November 2003, pp. 1289-1298. The change detection algorithm uses vector and spectral data as input to an unsupervised spectral classification method which controls a subsequent Mahalanobis classification step.
WWW Version. 0401
BibRef

Murphey, Y.L.[Yi Lu], Jia, H.B.[Hong-Bin], del Rose, M.[Michael],
Registering real and virtual imagery,
PR(36No. 10, October 2003, pp. 2363-2375.
WWW Version. 0308
BibRef

Murphey, Y.L., Zhang, J., del Rose, M.,
Registering Real-Scene to Virtual Imagery Using Robust Image Features,
VMV01(xx-yy).
PDF Version. 0209
BibRef

Peerbocus, M.A., Medeiros, C.B.[C. Bauzer], Jomier, G., Voisard, A.,
A System for Change Documentation Based on a Spatiotemporal Database,
GeoInfo(8), No. 2, June 2004, pp. 173-204.
WWW Version. 0403
BibRef

Baltsavias, E.P.,
Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems,
PandRS(58), No. 3-4, January 2004, pp. 129-151.
WWW Version. 0411
BibRef

Jung, F.[Franck],
Detecting building changes from multitemporal aerial stereopairs,
PandRS(58), No. 3-4, January 2004, pp. 187-201.
Elsevier DOI Link 0411
BibRef

Walter, V.[Volker],
Object-based classification of remote sensing data for change detection,
PandRS(58), No. 3-4, January 2004, pp. 225-238.
WWW Version. 0411
BibRef

Tong, X.H.[Xiao-Hua], Shi, W.Z.[Wen-Zhong], Liu, D.J.[Da-Jie],
A Least Squares-Based Method for Adjusting the Boundaries of Area Objects,
PhEngRS(71), No. 2, February 2005, pp. 189-196. A least squares-based method is presented for adjusting areas and inconsistencies for area objects in a GIS.
WWW Version. 0509
BibRef

Parrish, C.E.[Christopher E.], Tuell, G.H.[Grady H.], Carter, W.E.[William E.], Shrestha, R.L.[Ramesh L.],
Configuring an Airborne Laser Scanner for Detecting Airport Obstructions,
PhEngRS(71), No. 1, January 2005, pp. 37-46. Modifications to airborne laser scanner data collection and system parameter configurations are shown, through both analytical and empirical methods, to enable improvement in the detection of airport obstructions.
WWW Version. 0509
BibRef

Mostafa, M.M.R.[Mohamed M.R.], Hutton, J.[Joe],
A Fully Integrated Solution for Aerial Surveys: Design, Development, and Performance Analysis,
PhEngRS(71), No. 4, April 2005, pp. 391-398. Current technical developments in the field of system integration for airborne image acquisition, georeferencing, and map production.
WWW Version. 0509
BibRef

Yoon, J.S.[Jong-Suk], Shan, J.[Jie],
Combined Adjustment of MOC Stereo Imagery and MOLA Altimetry Data,
PhEngRS(71), No. 10, October 2005, pp. 1179-1186.
WWW Version. The combined adjustment refines the Mars Global Surveyor trajectory data and provides accurate registration of various mapping data. 0602
BibRef

Lacroix, V., Idrissa, M., Hincq, A., Bruynseels, H., Swartenbroekx, O.,
Detecting urbanization changes using SPOT5,
PRL(27), No. 4, March 2006, pp. 226-233.
WWW Version. 0602
Cartography; Change detection; SPOT5; Built-up area detection BibRef

Lambin, E.F., Linderman, M.,
Time Series of Remote Sensing Data for Land Change Science,
GeoRS(44), No. 7, Part 1, July 2006, pp. 1926-1928.
IEEE DOI Link 0606
BibRef

Holland, D.A., Boyd, D.S., Marshall, P.,
Updating topographic mapping in Great Britain using imagery from high-resolution satellite sensors,
PandRS(60), No. 3, May 2006, pp. 212-223.
WWW Version. 0610
cartography; change detection; land cover; IKONOS; QuickBird BibRef

Barlow, J.[John], Franklin, S.E.[Steven E.], Martin, Y.[Yvonne],
High Spatial Resolution Satellite Imagery, DEM Derivatives, and Image Segmentation for the Detection of Mass Wasting Processes,
PhEngRS(72), No. 6, June 2006, pp. 687-692.
WWW Version. 0610
A new method is described for identifying rapid mass movements on high-resolution optical satellite imagery by first using ancillary data to establish geomorphic context. BibRef

Legat, K.[Klaus],
Approximate direct georeferencing in national coordinates,
PandRS(60), No. 4, June 2006, pp. 239-255.
WWW Version. 0610
Georeferencing; Direct; GPS/INS; National; Mapping; Orientation; Transformation BibRef

Cramer, M.[Michael],
The ADS40 Vaihingen/Enz geometric performance test,
PandRS(60), No. 6, September 2006, pp. 363-374.
WWW Version. 0610
Keywords: ADS40; push-broom; georeferencing; performance; GPS/inertial BibRef

Cramer, M.[Michael], Haala, N.,
DGPF Project: Evaluation of Digital Photogrammetric Aerial Based Imaging Systems - Overview and Results from the Pilot Centre,
HighRes09(xx-yy).
PDF Version. 0906
BibRef

Oh, Y.S.[Young-Seuk], Sim, D.G.[Dong-Gyu], Park, R.H.[Rae-Hong], Kim, R.C.[Rin-Chul], Lee, S.U.[Sang Uk], Kim, I.C.[In Chul],
Absolute position estimation using IRS satellite images,
PandRS(60), No. 4, June 2006, pp. 256-268.
WWW Version. 0610
IRS; satellite image; registration; hough transform BibRef

Liu, C.C.,
Processing of FORMOSAT-2 Daily Revisit Imagery for Site Surveillance,
GeoRS(44), No. 11, November 2006, pp. 3206-3214.
IEEE DOI Link 0611
BibRef

Landsberg, F.[Florence], Vanhuysse, S.[Sabine], Wolff, E.[Eleonore],
Fuzzy Multi-temporal Land-use Analysis and Mine Clearance Application,
PhEngRS(72), No. 11, November 2006, pp. 1245-1254.
WWW Version. 0704
Methods for the detection of agricultural land-use changes possible due to mine contamination using very dissimilar imagery and classifi cation processes. BibRef

Vanhuysse, S.[Sabine], Ippoliti, C.[Carla], Conte, A.[Annamaria], Goffredo, M.[Maria], de-Clercq, E.[Eva], de Pus, C.[Claudia], Gilbert, M.[Marius], Wolff, E.[Eléonore],
Object-Based Classification of Spot and Aster Data Complemented with Data Derived from Modis Vegetation Indices Time Series in a Mediterranean Test-Site,
GEOBIA10(xx-yy).
PDF Version. 1007
BibRef

Molinier, M.[Matthieu], Laaksonen, J.T.[Jorma T.], Hame, T.[Tuomas],
Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps,
GeoRS(45), No. 4, April 2007, pp. 861-874.
IEEE DOI Link 0704
See also PicSOM: Content-Based Image Retrieval with Self-Organizing Maps. BibRef

Chen, K.S., Crawford, M.M., Gamba, P., Smith, J.S.,
Introduction for the Special Issue on Remote Sensing for Major Disaster Prevention, Monitoring, and Assessment,
GeoRS(45), No. 6, June 2007, pp. 1515-1518.
IEEE DOI Link 0706
BibRef

Voigt, S., Kemper, T., Riedlinger, T., Kiefl, R., Scholte, K., Mehl, H.,
Satellite Image Analysis for Disaster and Crisis-Management Support,
GeoRS(45), No. 6, June 2007, pp. 1520-1528.
IEEE DOI Link 0706
BibRef

Yom, J.H.[Jae-Hong], Drummond, J.[Jane],
Designing and Implementing Software Components for an Automated Mapping System,
PhEngRS(73), No. 12, December 2007, pp. 1417-1424.
WWW Version. 0712
An examination of the usefulness of Object-oriented Programming (OOP) and the Unified Modeling Language (UML) in implementing new automated mapping tools as they emerge. BibRef

Skaloud, J.[Jan], Legat, K.[Klaus],
Theory and reality of direct georeferencing in national coordinates,
PandRS(63), No. 2, March 2008, pp. 272-282.
WWW Version. 0803
Georeferencing; Direct; GPS/INS; National; Mapping; Orientation; Transformation BibRef

Wang, C.X.[Cai-Xia], Stefanidis, A.[Anthony], Croitoru, A.[Arie], Agouris, P.[Peggy],
Map Registration of Image Sequences Using Linear Features,
PhEngRS(74), No. 1, January 2008, pp. 25-38.
WWW Version. 0803
BibRef
Earlier: A1, A2, A4, Only:
Relaxation Matching for Georegistration of Aerial and Satellite Imagery,
ICIP07(V: 449-452).
IEEE DOI Link 0709
An automated approach for image sequence georegistration utilizing linear features. BibRef

Xue, Y.[Yong], Wan, W.[Wei], Li, Y.J.[Ying-Jie], Guang, J.[Jie], Bai, L.Y.[Lin-Yian], Wang, Y.[Ying], Ai, J.W.[Jian-Wen],
Quantitative Retrieval of Geophysical Parameters Using Satellite Data,
Computer(41), No. 4, April 2008, pp. 33-40.
IEEE DOI Link 0804
BibRef

Cariou, C., Chehdi, K.,
Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information,
GeoRS(46), No. 5, May 2008, pp. 1290-1300.
IEEE DOI Link 0804
BibRef

Chini, M., Pacifici, F., Emery, W.J., Pierdicca, N., Del Frate, F.,
Comparing Statistical and Neural Network Methods Applied to Very High Resolution Satellite Images Showing Changes in Man-Made Structures at Rocky Flats,
GeoRS(46), No. 6, June 2008, pp. 1812-1821.
IEEE DOI Link 0711
See also Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines. BibRef

Pacifici, F.[Fabio], Emery, W.J.[William J.],
Pulse Coupled Neural Networks for Automatic Urban Change Detection at Very High Spatial Resolution,
CIARP09(929-942).
Springer DOI Link 0911
See also Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines. BibRef

Camps-Valls, G.[Gustavo], Gomez-Chova, L., Munoz-Mari, J., Rojo-Alvarez, J.L., Martinez-Ramon, M.,
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection,
GeoRS(46), No. 6, June 2008, pp. 1822-1835.
IEEE DOI Link 0711
BibRef

Munoz-Mari, J., Bruzzone, L., Camps-Valls, G.,
A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images,
GeoRS(45), No. 8, August 2007, pp. 2683-2692.
IEEE DOI Link 0709
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Arenas-Garcia, J., Camps-Valls, G.[Gustavo],
Efficient Kernel Orthonormalized PLS for Remote Sensing Applications,
GeoRS(46), No. 10, October 2008, pp. 2872-2881.
IEEE DOI Link 0810
BibRef

Walsh, S.J.[Stephen J.], Shao, Y.[Yang], Mena, C.F.[Carlos F.], McCleary, A.L.[Amy L.],
Integration of Hyperion Satellite Data and a Household Social Survey to Characterize the Causes and Consequences of Reforestation Patterns in the Northern Ecuadorian Amazon,
PhEngRS(74), No. 6, June 2008, pp. 725-736.
WWW Version. 0711
Examination of Principal Components Analysis, linear mixture modeling, and supervised and unsupervised classifi cations to map forest regrowth, agricultural crops, pasture, and other land uses. BibRef

Potere, D.[David], Feierabend, N.[Neal], Strahler, A.H.[Alan H.], Bright, E.E.[Eddie E.],
Wal-mart from Space: A New Source for Land Cover Change Validation,
PhEngRS(74), No. 7, July 2008, pp. 913-920.
WWW Version. 0804
Using a set of Wal-Mart store positions and opening dates to validate portions of three land-cover change-related products: a forest disturbance map based on Landsat GeoCover imagery and two MODIS vegetation index time series. BibRef

Wilkinson, D.W., Parker, R.C., Evans, D.L.,
Change Detection Techniques for Use in a Statewide Forest Inventory Program,
PhEngRS(74), No. 7, July 2008, pp. 893-902.
WWW Version. 0804
Analysis of modifi ed Change Vector Analysis (mCVA) and Simultaneous Image Differencing (SID) techniques for largescale forest change in Mississippi. BibRef

Pape, A.D.[Alysha D.], Franklin, S.E.[Steven E.],
Modis-based Change Detection for Grizzly Bear Habitat Mapping in Alberta,
PhEngRS(74), No. 8, August 2008, pp. 973-986.
WWW Version. 0804
Multiple spatial resolution, polygon-based, image change detection in Boreal forests for Grizzly Bear Management. BibRef

Liao, M.S.[Ming-Sheng], Jiang, L.M.[Li-Ming], Lin, H.[Hui], Huang, B.[Bo], Gong, J.Y.[Jian-Ya],
Urban Change Detection Based on Coherence and Intensity Characteristics of Sar Imagery,
PhEngRS(74), No. 8, August 2008, pp. 999-1066.
WWW Version. 0804
An unsupervised approach combining coherence and intensity characteristics of SAR imagery to detect and map landcover changes in an urban area. BibRef

Durieux, L.[Laurent], Lagabrielle, E.[Erwann], Nelson, A.[Andrew],
A method for monitoring building construction in urban sprawl areas using object-based analysis of Spot 5 images and existing Gis data,
PandRS(63), No. 4, July 2008, pp. 399-408.
WWW Version. 0804
Spot 5; Reunion Island; Integrated urban sprawl management; Object-based image analysis BibRef

Wiebe, H., Heygster, G., Meyer-Lerbs, L.,
Geolocation of AMSR-E Data,
GeoRS(46), No. 10, October 2008, pp. 3098-3103.
IEEE DOI Link 0810
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Song, W., Keller, J.M., Haithcoat, T.L., Davis, C.H.,
Automated Geospatial Conflation of Vector Road Maps to High Resolution Imagery,
IP(18), No. 2, February 2009, pp. 388-400.
IEEE DOI Link 0901
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Quddus, M.A.[Mohammed A.], Noland, R.B.[Robert B.], Ochieng, W.Y.[Washington Y.],
The Effects of Navigation Sensors and Spatial Road Network Data Quality on the Performance of Map Matching Algorithms,
GeoInfo(13), No. 1, March 2009, pp. xx-yy.
Springer DOI Link 0804
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Topan, H., Kutoglu, H.S.,
Georeferencing Accuracy Assessment of High-Resolution Satellite Images Using Figure Condition Method,
GeoRS(47), No. 4, April 2009, pp. 1256-1261.
IEEE DOI Link 0903
BibRef

Geerken, R.A.[Roland A.],
An algorithm to classify and monitor seasonal variations in vegetation phenologies and their inter-annual change,
PandRS(64), No. 4, July 2009, pp. 422-431.
Elsevier DOI Link
WWW Version. 0907
NDVI; MODIS; Phenology; Coverage; Change detection BibRef

Rottensteiner, F., Weser, T., Lewis, A., Fraser, C.S.,
A Strip Adjustment Approach for Precise Georeferencing of ALOS Optical Imagery,
GeoRS(47), No. 12, December 2009, pp. 4083-4091.
IEEE DOI Link 0912
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Piles, M., Entekhabi, D., Camps, A.,
A Change Detection Algorithm for Retrieving High-Resolution Soil Moisture From SMAP Radar and Radiometer Observations,
GeoRS(47), No. 12, December 2009, pp. 4125-4131.
IEEE DOI Link 0912
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Bouziani, M.[Mourad], Goita, K.[Kalifa], He, D.C.[Dong-Chen],
Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge,
PandRS(65), No. 1, January 2010, pp. 143-153.
Elsevier DOI Link
WWW Version. 1001
Change detection; Urban; QuickBird; Ikonos; Knowledge base BibRef

Bouziani, M.[Mourad], Goita, K.[Kalifa], He, D.C.[Dong-Chen],
Rule-Based Classification of a Very High Resolution Image in an Urban Environment Using Multispectral Segmentation Guided by Cartographic Data,
GeoRS(48), No. 8, August 2010, pp. 3198-3211.
IEEE DOI Link 1008
BibRef

Li, X.[Xia], Yeh, A.G.O.[Anthony Gar-On], Qian, J.P.[Jun-Ping], Ai, B.[Bin], Qi, Z.X.[Zhi-Xin],
A Matching Algorithm for Detecting Land Use Changes Using Case-Based Reasoning,
PhEngRS(75), No. 11, November 2009, pp. 1319-1333.
WWW Version. 1001
A matching algorithm to identify the temporal positions and the kind of changes by integrating object-oriented analysis and case-based reasoning for Multi-temporal SAR Images. BibRef

Xu, H., Kang, C.,
Equivalence Analysis of Accuracy of Geolocation Models for Spaceborne InSAR,
GeoRS(48), No. 1, January 2010, pp. 480-490.
IEEE DOI Link 1001
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Guida, R., Iodice, A., Riccio, D.,
Assessment of TerraSAR-X Products with a New Feature Extraction Application: Monitoring of Cylindrical Tanks,
GeoRS(48), No. 2, February 2010, pp. 930-938.
IEEE DOI Link 1002
BibRef

Schubert, A., Jehle, M., Small, D., Meier, E.,
Influence of Atmospheric Path Delay on the Absolute Geolocation Accuracy of TerraSAR-X High-Resolution Products,
GeoRS(48), No. 2, February 2010, pp. 751-758.
IEEE DOI Link 1002
BibRef

Khlopenkov, K.V., Trishchenko, A.P., Luo, Y.,
Achieving Subpixel Georeferencing Accuracy in the Canadian AVHRR Processing System,
GeoRS(48), No. 4, April 2010, pp. 2150-2161.
IEEE DOI Link 1003
BibRef

Heygster, G., Dannenberg, J., Notholt, J.,
Topographic Mapping of the German Tidal Flats Analyzing SAR Images With the Waterline Method,
GeoRS(48), No. 3, March 2010, pp. 1019-1030.
IEEE DOI Link 1003
BibRef

Champion, N.[Nicolas], Boldo, D.[Didier], Pierrot-Deseilligny, M.[Marc], Stamon, G.[Georges],
2D building change detection from high resolution satelliteimagery: A two-step hierarchical method based on 3D invariant primitives,
PRL(31), No. 10, 15 July 2010, pp. 1138-1147.
Elsevier DOI Link
WWW Version. 1008
BibRef
Earlier:
Automatic estimation of fine terrain models from multiple high-resolution satellite images,
ICIP09(577-580).
IEEE DOI Link 0911
Change detection; Building vector database; Digital Surface Models; Digital Terrain Models; High resolution satellite imagery; Quality assessment BibRef

Champion, N.[Nicolas], Stamon, G.[Georges], Pierrot-Deseilligny, M.[Marc],
Automatic GIS Updating from High Resolution Satellite Images,
MVA09(374-).
PDF Version. 0905
See also Automatic Building Extraction from DEMs Using an Object Approach and Application to the 3D-City Modeling. BibRef

Debaque, B., Stamon, G., Pierrot-Deseilligny, M.,
An area-based alignment method for 3d urban models,
ICPR02(I: 61-64).
IEEE DOI Link 0211
Find a transformation and validate. BibRef

Lu, D.S.[Deng-Sheng], Moran, E.[Emilio], Hetrick, S.[Scott],
Detection of impervious surface change with multitemporal Landsat images in an urban-rural frontier,
PandRS(66), No. 3, May 2011, pp. 298-306.
Elsevier DOI Link
WWW Version. 1103
Impervious surfaces; Urban-rural frontier; Landsat; QuickBird; Regression analysis BibRef

Mao, B.[Bo], Ban, Y.[Yifang], Harrie, L.[Lars],
A multiple representation data structure for dynamic visualisation of generalised 3D city models,
PandRS(66), No. 2, March 2011, pp. 198-208.
Elsevier DOI Link
WWW Version. 1103
BibRef
Earlier:
A framework for generalization of city models based on CityGML and X3D,
CityModels09(xx-yy).
PDF Version. 0912
3D city models; Generalisation; Aggregation; Dynamic visualisation; Multiple representation data structure BibRef

Smart, P.D.[Philip D.], Quinn, J.A.[Jonathan A.], Jones, C.B.[Christopher B.],
City model enrichment,
PandRS(66), No. 2, March 2011, pp. 223-234.
Elsevier DOI Link
WWW Version. 1103
BibRef
Earlier: A2, A1, A3:
3D city registration and enrichment,
CityModels09(xx-yy).
PDF Version. 0912
Internet/web; Geometry; Georeferencing; Registration; Retrieval BibRef

Jiang, J.X.[Ji-Xiang], Worboys, M.[Michael], Nittel, S.[Silvia],
Qualitative change detection using sensor networks based on connectivity information,
GeoInfo(15), No. 2, April 2011, pp. 305-328.
WWW Version. 1103
BibRef

Chen, L.C.[Liang-Chien], Lin, L.J.[Li-Jer],
Detection of building changes from aerial images and light detecting and ranging (LIDAR) data,
AppRS(4), November 2010, pp. 041870.
WWW Version. 1105
BibRef

Chen, L.C.[Liang-Chien], Lin, L.J.[Li-Jer], and Chang, W.C.[Wen-Chi],
Imaging data detects changes in urban areas over time,
SPIE(Newsroom), May 19, 2011
WWW Version. 1105
A scheme for identifying altered features of cityscapes that compares existing building models with new lidar data points and aerial images improves the accuracy of 3D spatial information. BibRef

Sakamoto, T., Wardlow, B.D., Gitelson, A.A.,
Detecting Spatiotemporal Changes of Corn Developmental Stages in the U.S. Corn Belt Using MODIS WDRVI Data,
GeoRS(49), No. 6, June 2011, pp. 1926-1936.
IEEE DOI Link 1106
BibRef

Ahn, Y.[Yushin], Howat, I.M.,
Efficient Automated Glacier Surface Velocity Measurement From Repeat Images Using Multi-Image/Multichip and Null Exclusion Feature Tracking,
GeoRS(49), No. 8, August 2011, pp. 2838-2846.
IEEE DOI Link 1108
BibRef

Soliman, G.[Ghada], Soussa, H.[Hoda],
Wetland change detection in the Nile swamps of southern Sudan,
SPIE(Newsroom), November 15, 2011
WWW Version. 1111
Monitoring changes in the Sudd wetland is complicated by remoteness and inaccessibility due to civil war. BibRef

Crispell, D., Mundy, J., Taubin, G.,
A Variable-Resolution Probabilistic Three-Dimensional Model for Change Detection,
GeoRS(50), No. 2, February 2012, pp. 489-500.
IEEE DOI Link 1201
BibRef

Wang, G.L.[Guang-Liang], Li, Y.C.[Ying-Cheng], Chen, Z.J.[Zhi-Jun], Zeng, Y.[Yu], Jin, L.[Lan],
Aerospace Base Map Supervision of the Second National Land Resources Investigation,
ISIDF11(1-4).
IEEE DOI Link 1111
BibRef

Gao, Z.H.[Zhi-Hong], Shao, Y.[Yun], Gong, H.[Huaze],
Environmental Evolution Change Detection and Primary Analysis of Lop Nur in Recent 40 Years Using Multi-Temporal Imagery,
ISIDF11(1-3).
IEEE DOI Link 1111
BibRef