Fischler, M.A.,
Tenenbaum, J.M., and
Wolf, H.C.,
Detection of Roads and Linear Structures in Low Resolution Aerial
Images Using Multi-Source Knowledge Integration Techniques,
CGIP(15), No. 3, March 1981, pp. 201-223. Reprinted:
WWW Version. RCV(741-752).
BibRef
8103
Earlier:
DARPAN79(87-100).
Application, Cartography.
The F* algorithm.
Several edge/road detection techniques are applied to detect
and then trace roads in images.
BibRef
Fischler, M.A.,
Agin, G.J.,
Barrow, H.G.,
Bolles, R.C.,
Quam, L.H.,
Tenenbaum, J.M., and
Wolf, H.C.,
The SRI Road Expert: An Overview,
DARPAN78(13-19).
The early version of the road papers.
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7800
Fischler, M.A.[Martin A.],
Heller, A.J.[Aaron J.],
Automated Techniques for road Network Modeling,
DARPA98(501-516).
Some interaction, 10 times speedup over manual.
Find road feature points, link together, analyze, then edit
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9800
Fischler, M.A.[Martin A.],
Bolles, R.C.[Robert C.],
Evaluation of a Road-Centerline Data Model,
DARPA98(493-498).
Evaluation
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9800
Agin, G.J.,
Knowledge-Based Detection and Classification of
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DARPA79(66-71).
Detect cars given the road.
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7900
Quam, L.H.,
Road Tracking and Anomaly Detection in Aerial Imagery,
DARPA78(51-55). Road following paper.
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7800
See also Building and Road Extraction from Aerial Photographs.
Vasudevan, S.,
Cannon, R.L.,
Bezdek, J.C., and
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Heuristics for Intermediate-Level Road Finding Algorithms,
CVGIP(44), No. 2, November 1988, pp. 175-190.
WWW Version. Connecting road fragments based on road-like features.
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Fulford, M.C.,
The FASTRAK Automatic Digitising System,
PR(14), No. 1-6, 1981, pp. 65-74.
WWW Version.
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8100
Zlotnick, A., and
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Finding Road Seeds in Aerial Images,
CVGIP(57), No. 2, March 1993, pp. 243-260.
WWW Version. Uses antiparallel pairs to generate road hypotheses followed by linking.
Extends technique of
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BibRef
9303
Barzohar, M.,
Cooper, D.B.,
Automatic Finding of Main Roads in Aerial Images by
Using Geometric-Stochastic Models and Estimation,
PAMI(18), No. 7, July 1996, pp. 707-721.
IEEE Abstract. IEEE Top Reference.
WWW Version.
9608
BibRef
Earlier:
CVPR93(459-464).
IEEE Abstract. IEEE Top Reference.
BibRef
And:
DARPA93(465-469).
BibRef
And:
Completely Automatic Reliable Finding of Main Roads in Aerial Images by
Using Bayesian Methods,
BrownLEMS-118, March 1993.
BibRef
Barzohar, M.,
Keren, D.,
Cooper, D.B.,
Recognizing Groups of Curves Based on New Affine Mutual
Geometric Invariants, with Applications to Recognizing Intersecting Roads
in Aerial Images,
ICPR94(A:205-209).
WWW Version.
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9400
Barzohar, M., and
Cooper, D.B.,
New Geometric Stochastic Technology for Finding and Recognizing Roads
and Their Features in Aerial Images,
Ascona95(255-264).
BibRef
9500
Barzohar, M.[Meir],
Cohen, M.[Moshe],
Ziskind, I.[Ilan], and
Cooper, D.B.,
Fast Robust Tracking of Curvy Partially Occluded Roads in Clutter in Aerial
Images,
Ascona97(277-286).
High Resolution, rural roads.
Begin with seeds, track and merge the results. Does not smooth the
boundaries.
BibRef
9700
Barzohar, M.,
Cohen, M.,
Ziskind, I., and
Cooper, D.B.,
Automatic and Robust Aerial Road Detection Based on Multihypothesis
Generalized Kalman Filter Using Fully and Partially Occluded Models,
ICIP97(III: 134-137).
WWW Version.
9710
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Geman, D.,
Jedynak, B.,
An Active Testing Model for Tracking Roads in Satellite Images,
PAMI(18), No. 1, January 1996, pp. 1-14.
IEEE Abstract. IEEE Top Reference.
WWW Version.
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9601
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UMassTech Report, August 1994.
Track highways in SPOT imagery over large distances.
Very good results.
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Jedynak, B., and
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Ascona95(243-253).
Apply a set of tests (matched filters) one at a time to remove uncertainity
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9500
Netanyahu, N.S.,
Philomin, V.,
Rosenfeld, A.,
Stromberg, A.J.,
Robust Detection of Straight and Circular Road Segments in
Noisy Aerial Images,
PR(30), No. 10, October 1997, pp. 1673-1686.
WWW Version.
9712
BibRef
Netanyahu, N.S.,
Philomin, V.,
Stromberg, A.J.,
Robust Detection of Road Segments in Noisy Aerial Images,
ICPR96(II: 151-155).
WWW Version.
9608
BibRef
And:
UMDTR-3631, April 1996.
WWW Version.
WWW Version. (Univ. of Maryland, USA)
BibRef
Merlet, N.,
Zerubia, J.B.,
New Prospects in Line Detection by Dynamic-Programming,
PAMI(18), No. 4, April 1996, pp. 426-431.
IEEE Abstract. IEEE Top Reference.
WWW Version.
9605
BibRef
Earlier:
New Prospects in Line Detection for Remote Sensing Images,
ICASSP94(xx).
BibRef
Earlier:
Classical Mechanics and Road Detection in SPOT Images,
INRIAReport 1889, 1993.
Dynamic Programming. Low resolution road detection.
Connect broken roads.
BibRef
Rochery, M.[Marie],
Jermyn, I.H.[Ian H.],
Zerubia, J.B.[Josiane B.],
Higher Order Active Contours,
IJCV(69), No. 1, August 2006, pp. 27-42.
WWW Version.
0606
Active Contours.
BibRef
Earlier:
INRIARR-5656, 2005.
HTML Version.
BibRef
Earlier:
Phase Field Models and Higher-Order Active Contours,
ICCV05(II: 970-976).
WWW Version.
0510
BibRef
New Higher-Order Active Contour Energies for Network Extraction,
ICIP05(II: 822-825).
WWW Version.
0512Arbitrary polynomial functionals, optimize with a level set approach.
Prior energy term to describe network for roads.
Special case of the model applied to road network extraction.
BibRef
Rochery, M.[Marie],
Jermyn, I.H.[Ian H.],
Zerubia, J.B.[Josiane B.],
Higher-Order Active Contour Energies for Gap Closure,
JMIV(29), No. 1, Septmeber 2007, pp. 1-20.
WWW Version.
0709
BibRef
Earlier:
Gap closure in (road) networks using higher-order active contours,
ICIP04(III: 1879-1882).
WWW Version.
0505
BibRef
Peng, T.,
Jermyn, I.H.,
Prinet, V.,
Zerubia, J.B.,
Hu, B.,
A phase field model incorporating generic and specific prior knowledge
applied to road network extraction from VHR satellite images,
BMVC07(xx-yy).
PDF Version.
0709
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Stoica, R.[Radu],
Descombes, X.[Xavier],
Zerubia, J.B.[Josiane B.],
A Gibbs Point Process for Road Extraction from Remotely Sensed Images,
IJCV(57), No. 2, May 2004, pp. 121-136.
WWW Version.
0402
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Lacoste, C.,
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ICIP03(III: 1017-1020).
IEEE Abstract. IEEE Top Reference.
0312
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Lacoste, C.[Caroline],
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Zerubia, J.B.[Josiane B.],
Point Processes for Unsupervised Line Network Extraction in Remote
Sensing,
PAMI(27), No. 10, October 2005, pp. 1568-1579.
WWW Version.
0509
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Earlier:
A Comparative Study of Point Processes for Line Network Extraction i,
INRIARR-4516, July 2002.
HTML Version.
0211
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Dong, Y.H.,
Forster, B.C.,
Ticehurst, C.,
Street Orientation Detection and Recognition in Landsat TM and SPOT
HRV Imagery,
PRL(18), No. 8, August 1997, pp. 759-769.
9801
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Mackaness, W.A.[William A.],
Mackechnie, G.A.[Gordon A.],
Automating the Detection and Simplification of Junctions in Road
Networks,
GeoInfo(3), No. 2, June 1999, pp. 185-200.
WWW Version.
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9906
Zhang, Y.[Yun],
A Method for Continuous Extraction of Multispectrally Classified Urban
Rivers,
PhEngRS(66), No. 8, August 2000, pp. 991-1000.
By applying this method, discontinuous river segments can be
connected, small water areas can be separated from noise, and
noise in large water areas can be eliminated.
0008
BibRef
Doucette, P.[Peter],
Agouris, P.[Peggy],
Stefanidis, A.[Anthony],
Musavi, M.[Mohamad],
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PandRS(55), No. 5-6, March 2001, pp. 347-358.
HTML Version. Semi-automated procedure.
For moderate resolution images (2M GSD), find elongated regions in
classified MSI data.
0105
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Agouris, P.,
Doucette, P.,
Stefanidis, A.,
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ICIP01(II: 789-792).
IEEE Abstract. IEEE Top Reference.
0108Extend the PandRS paper above to automate the road seed finder.
Generate classification with 4 classes. Choose the on that best
fits a road model. Link the elongated regions with MST approach.
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Shi, W.Z.[Wen-Zhong],
Zhu, C.Q.[Chang-Qing],
The line segment match method for extracting road network from
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IEEE Top Reference.
0205
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Kozaitis, S.P.[Samuel P.],
Cofer, R.H.,
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WWW Version.
0509Detection of road seed pixels to reduce the number of false positives.
See also Extended Hough transform for linear feature detection.
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Amo, M.,
Martinez, F.,
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IP(15), No. 5, May 2006, pp. 1192-1201.
WWW Version.
0605
See also Agricultural-Field Extraction on Aerial Images by Region Competition Algorithm.
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Sithole, G.[George],
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Bridge detection in airborne laser scanner data,
PandRS(61), No. 1, October 2006, pp. 33-46.
WWW Version.
0610
BibRef
Earlier:
Filtering of airborne laser scanner data based on segmented point
clouds,
Laser05(xx-yy).
PDF Version.
0509Algorithms; Lidar; Laser scanning; Geometric; Point cloud;
Segmentation; Classification
See also Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds.
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Zhou, J.[Jun],
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Road tracking in aerial images based on human-computer interaction and
Bayesian filtering,
PandRS(61), No. 2, November 2006, pp. 108-124.
WWW Version.
0703
BibRef
Earlier:
Robust and Efficient Road Tracking in Aerial Images,
CMRT05(xx-yy).
PDF Version.
0508Road tracking; Aerial images; Human-computer interaction;
Bayesian filtering; Particle filter; Extended Kalman filter
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Zhou, J.[Jun],
Cheng, L.,
Bischof, W.F.[Walter F.],
Online Learning With Novelty Detection in Human-Guided Road Tracking,
GeoRS(45), No. 12, December 2007, pp. 3967-3977.
WWW Version.
0711
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Bigorgne, E.[Erwan],
Tarel, J.P.[Jean-Philippe],
Backward Segmentation and Region Fitting for Geometrical Visibility
Range Estimation,
ACCV07(II: 817-826).
WWW Version.
0711Continuous measurement of visibility on roads.
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Tarel, J.P.[Jean-Philippe],
Ieng, S.S.[Sio-Song],
Charbonnier, P.[Pierre],
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ICIP07(V: 365-368).
WWW Version.
0709
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Dal Poz, A.P.,
do Vale, G.M.,
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Medium- and High-Resolution Images,
PIA05(xx-yy).
PDF Version.
0509
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Gorte, B.G.H.,
Karimi Nejadasl, F.,
Hoogendoorn, S.P.,
Outline Extraction of a Motorway from Helicopter Image Sequence,
CMRT05(xx-yy).
PDF Version.
0508
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Soergel, U.[Uwe],
Gross, H.[Hermann],
Thiele, A.[Antje],
Thoennessen, U.[Ulrich],
Extraction of Bridges over Water in Multi-Aspect High-Resolution InSAR
Data,
PCV06(xx-yy).
PDF Version.
0609
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Heuwold, J.[Janet],
Verification of a Methodology for the Automatic Scale-Dependent
Adaptation of Object Models,
PCV06(xx-yy).
PDF Version.
0609Parallel line type objects.
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Heuwold, J.,
Pakzad, K.[Kian],
Heipke, C.[Christian],
Scale Behaviour Prediction of Image Analysis Models for 2D Landscape
Objects,
PIA07(43).
PDF Version.
0711
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Heller, J.,
Pakzad, K.,
Scale-Dependent Adaptation of Object Models for Road Extraction,
CMRT05(23-28).
PDF Version.
0508
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Porfirio Dal Poz, A.[Aluir],
de Araujo Gallis, R.[Rodrigo],
Custodio da Silva, J.F.[Joăo Fernando],
Semiautomatic Road Extraction by Dynamic Programming Optimisation in
the Object Space: Single Image Case,
PCV06(xx-yy).
PDF Version.
0609
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Tournaire, O.[Olivier],
Paparoditis, N.[Nicolas],
Lafarge, F.,
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PIA07(149).
PDF Version.
0711
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Tournaire, O.[Olivier],
Paparoditis, N.[Nicolas],
Jung, F.[Franck],
Cervelle, B.[Bernard],
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PCV06(xx-yy).
PDF Version.
0609
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Collado, J.M.[Juan M.],
Hilario, C.[Cristina],
de la Escalera, A.[Arturo],
Armingol, J.M.[Jose M.],
Adaptative Road Lanes Detection and Classification,
ACIVS06(1151-1162).
WWW Version.
0609
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Sawano, H.,
Okada, M.,
Road extraction by snake with inertia and differential features,
ICPR04(IV: 380-383).
WWW Version.
0409
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Rasmussen, C.,
Grouping dominant orientations for ill-structured road following,
CVPR04(I: 470-477).
IEEE Abstract. IEEE Top Reference.
0408
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Bicego, M.,
Dalfini, S.,
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Murino, P.,
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ICIP03(III: 585-588).
IEEE Abstract. IEEE Top Reference.
0312
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Keaton, T.,
Brokish, J.,
Evolving roads in Ikonos multispectral imagery,
ICIP03(III: 1001-1004).
IEEE Abstract. IEEE Top Reference.
0312
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Trias-Sanz, R.[Roger],
Loménie, N.[Nicolas],
Automatic Bridge Detection in High-Resolution Satellite Images,
CVS03(172 ff).
HTML Version.
0306
BibRef
Faber, A.[Annett],
Förstner, W.[Wolfgang],
Detection of dominant orthogonal road structures in small scale,
ISPRS00(3A, 274-281).
BibRef
0001
Tesser, H.[Herbert],
Pavlidis, T.[Theo],
RoadFinder Front End: an Automated Road Extraction System,
ICPR00(Vol I: 338-341).
WWW Version.
HTML Version.
0009Looks almost like find apars and link them filter short ones.
BibRef
Duta, N.[Nicolae],
Road Detection in Panchromatic SPOT Satellite Images,
ICPR00(Vol IV: 308-311).
WWW Version.
HTML Version.
0009From seeds combine and generate road tree.
Low resolution roads.
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Price, K.E.[Keith E.],
Urban Street Grid Description and Verification,
WACV00(148-154).
IEEE Abstract. IEEE Top Reference.
0010
BibRef
USC Computer VisionModel based approach.
PDF Version.
BibRef
Price, K.E.[Keith E.],
Road Grid Extraction and Verification,
ISPRSGIS99(101-106).
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9900
USC Computer VisionModel based approach to find urban grid patterns.
PDF Version.
BibRef
Borkowski, A.,
Burghardt, D.,
Meier, S.,
A Fast Snakes Algorithm Using the Tangent Angle Function,
ISPRSGIS99(61-66).
Snakes for road descriptions.
BibRef
9900
Rianto, Y.,
Kondo, S.,
Kim, T.,
Detection of roads from satellite image using the optimal search,
CIAP99(804-809).
WWW Version.
9909
BibRef
McKeown, D.M., and
Denlinger, J.L.[Jerry L.],
Cooperative Methods for Road Tracking in Aerial Imagery,
DARPA88(327-341).
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8800
And:
CVPR88(662-672).
IEEE Abstract. IEEE Top Reference. Roads are extracted using several types of road tracking with
the choice depending on which one is doing the best.
BibRef
Vosselman, G., and
de Knecht, J.,
Road Tracing by Profile Matching and Kalman Filtering,
Ascona95(265-274).
Tracking approach.
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9500
Hu, J.,
Sakoda, B.,
Pavlidis, T.,
Interactive Road Finding For Aerial Images,
WACV92(56-63).
IEEE Abstract. IEEE Top Reference.
BibRef
9200
Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
Road Network Model Integration, Updating, and Change Detection .