22.3.2 Site Model Registration, Georeference, 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.

Bristor, C.L.,
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PR(2), No. 4, December 1970, pp. 269-270.
WWW Version. 0309
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Hayes, L., Cracknell, A.P.,
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Perlant, F.P., and McKeown, D.M.,
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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],
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US_Patent5,345,086, Sep 6, 1994
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Müller, W.[Walt],
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Ely, R.W.[Richard W.], Lundgren, J.C.[James C.], Müller, W.J.[Walter J.],
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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.],
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US_Patent5,719,773, Feb 17, 1998
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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

Smits, P.C., Annoni, A.,
Updating Land-Cover Maps by Using Texture Information from Very High-Resolution Space-Borne Imagery,
GeoRS(37), No. 3, May 1999, pp. 1244.
IEEE Top Reference. BibRef 9905

Smits, P.C., Serpico, S.B.,
Analysis and segmentation of remote-sensing images for land-cover mapping,
CIAP97(II: 743-748).
WWW Version. 9709
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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 Top Reference.
WWW Version. 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. 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. IEEE Top Reference. 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

Chan, J.C.W.[Jonathan Cheung-Wai], Chan, K.P.[Kwok-Ping], Yeh, A.G.O.[Anthony Gar-On],
Detecting the Nature of Change in an Urban Environment: A Comparison of Machine Learning Algorithms,
PhEngRS(67), No. 2, February 2001, pp. 213-226. The same procedure of land-cover change detection was implemented using four different machine learning algorithms, and those algorithms were compared based on recognition rates, ease of use, and degree of automation. 0102
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.
HTML Version. 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.
HTML Version. 0205
BibRef

Bruzzone, L., Cossu, R.,
A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps,
GeoRS(40), No. 9, September 2002, pp. 1984-1996.
IEEE Top Reference. 0212
BibRef

Bruzzone, L., Cossu, R., Vernazza, G.,
Detection of land-cover transitions by combining multidate classifiers,
PRL(25), No. 13, 1 October 2004, pp. 1491-1500.
WWW Version. 0410
Find changes. BibRef

Bruzzone, L.[Lorenzo], Marconcini, M.,
Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy,
GeoRS(47), No. 4, April 2009, pp. 1108-1122.
IEEE DOI Link 0903
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. IEEE Top Reference. 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

Read, J.M., Lam, N.S.N.,
Spatial methods for characterising land cover and detecting land-cover changes for the tropics,
JRS(23), No. 12, June 2002, pp. 2457-2474. 0208
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

Hasse, J.[John], Lathrop, R.G.[Richard G.],
A Housing-Unit-Level Approach to Characterizing Residential Sprawl,
PhEngRS(69), No. 9, September 2003, pp. 1021-1030.
WWW Version. 0309
Spatial measurements of new housing units provide a means for assessing the degree to which new residential development can be characterized as sprawling. 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 Top Reference.
WWW Version. 0005

PDF Version. 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. 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.
WWW Version. 0304
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. A two-step texture analysis using digitally merged TM and SPOT-P data produces a binary "built/non-built" image identifying urban growth.
WWW Version. 0304
BibRef

Chen, J.[Jin], Gong, P.[Peng], He, C.[Chunyang], Pu, R.[Ruiliang], Shi, P.[Peijun],
Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis,
PhEngRS(69), No. 4, April 2003, pp. 369-380. The method consists of two stages, Double-Window Flexible Pace Search, which aims at determining the threshold of change magnitude, and direction cosines of change vectors, for determining change direction (category) that combines single-date image classification with a minimum-distance categorizing technique.
WWW Version. 0304
BibRef

Loveland, T.R., Sohl, T.L., Stehman, S.V., Gallant, A.L., Sayler, K.L., Napton, D.E.,
A Strategy for Estimating the Rates of Recent United States Land-Cover Changes,
PhEngRS(68), No. 10, October 2002, pp. 1091-1100.
WWW Version. Use multi-date Landsat imagery, probability sampling, and stratification by ecoregion geographic fremework for the assessment of the regional rates and characteristics of land-cover change. 0304
BibRef

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
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

Pope, A.R.[Art R.], Asmuth, J.C.[Jane C.], Kumar, R.[Rakesh], Sawhney, H.S.[Harpreet S.], Hsu, S.[Steve],
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. IEEE Top Reference. 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.
WWW Version. 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

Lowell, K.[Kim], Richards, G.[Gary], Woodgate, P.[Peter], Jones, S.[Simon], Buxton, L.[Laurie],
Fuzzy Reliability Assessment of Multi-Period Land-cover Change Maps,
PhEngRS(71), No. 8, August 2005, pp. 939-946.
WWW Version. 0602
A fuzzy methodology for evaluating the reliability of land-cover data derived from satellite imagery. 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

Boucher, A., Seto, K.C., Journel, A.G.,
A Novel Method for Mapping Land Cover Changes: Incorporating Time and Space With Geostatistics,
GeoRS(44), No. 11, November 2006, pp. 3427-3435.
IEEE DOI Link 0611
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

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
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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.
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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
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Relaxation Matching for Georegistration of Aerial and Satellite Imagery,
ICIP07(V: 449-452).
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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,
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IEEE DOI Link 0804
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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.
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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
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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
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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.
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Arenas-Garcia, J., Camps-Valls, G.[Gustavo],
Efficient Kernel Orthonormalized PLS for Remote Sensing Applications,
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Mena, C.F.[Carlos F.],
Trajectories of Land-use and Land-cover in the Northern Ecuadorian Amazon: Temporal Composition, Spatial Configuration, and Probability of Change,
PhEngRS(74), No. 6, June 2008, pp. 737-752.
WWW Version. 0711
How clusters and probabilities of change can be used to characterize trajectories of Land-use and Land-cover. 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.
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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
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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


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Ringle, K., Vögtle, T., Peschel, T.,
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Liu, W.[Wei], Prinet, V.[Véronique],
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Change detection in aerial images,
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Davis, R.,
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Jamet, O., Maitre, H., Le Men, H.,
Applying the Theory of Evidence to Vector-D.E.M. Comparison for the Building Planimetric Change Detection,
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Detecting Changes of Buildings from Aerial Images Using Shadow and Shading Model,
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Hoogs, A.J.[Anthony J.],
Combining Geometric and Appearance Models for Change Detection,
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Regazzoni, C.S.[Carlo S.], Teschioni, A.[Andrea], Stringa, E.[Elena],
A long term change detection method for surveillance applications,
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Parulekar, R., Davis, L.S., Chellappa, R., Saltz, J., Sussman, A., Townshend, J.,
High performance computing for land cover dynamics,
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Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
Change Detection, Damage Assessment .


Last update:Nov 16, 2009 at 19:35:14