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Elsevier DOI
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transformation of images onto standard map projections.
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PRL(5), 1987, pp. 95-105.
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Scene Registration in Aerial Image Analysis,
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9004
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DARPA89(309-331).
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And:
CMU-CS-TR-89-127, March 1989.
Using all the other work, recognize buildings and use them in
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Li, S.Z.,
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Petrou, M.,
Automatic Registration of Aerial Photographs and Digitised Maps,
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9300
Earlier:
Matching and Recognition of Road Networks from Aerial Images,
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Springer DOI
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Bertram, S.[Sidney],
Automatic map compilation system,
US_Patent5,345,086, Sep 6, 1994
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9409
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Geometric Refinement in Model Supported Positioning,
Radius97(103-110).
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9700
Ely, R.W.[Richard W.],
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Müller, W.J.[Walter J.],
Processes to Support Error Estimation for Model Supported Positioning,
SPIE(3072), April 1997, pp. 326-336.
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Ely, R.W.[Richard W.],
di Girolamo, J.[Joseph],
Automated Model-to-Image Registration,
Radius97(111-116).
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9700
Ely, R.W.[Richard W.],
di Girolamo, J.[Joseph],
Model-to-SAR Image Registration,
SPIE(3072), April 1997, pp. 318-325.
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Choate, W.C.[William C.],
System and method for relating a passive sensor to a
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Vosselman, G.[George],
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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.
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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.
DOI Link
BibRef
9812
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.
DOI Link
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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
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
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
Krüger, W.[Wolfgang],
Robust and efficient map-to-image registration with line segments,
MVA(13), No. 1, 2001, pp. 38-50.
Springer DOI Map to image for planar scenes. Projective transfrom to align model
line segments from a map with those from an image.
0108
BibRef
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
0205
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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.
Springer DOI
0208
BibRef
Earlier:
WACV00(48-55).
IEEE DOI
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
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 Link.
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
Foody, G.M.[Giles M.],
Latent Class Modeling for Site- and Non-Site-Specific Classification
Accuracy Assessment Without Ground Data,
GeoRS(50), No. 7, July 2012, pp. 2827-2838.
IEEE DOI
1208
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 Link.
0304
A two-step texture analysis using digitally merged TM and SPOT-P data
produces a binary "built/non-built" image identifying urban growth.
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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 Link.
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
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
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
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 DOI
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
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.
Elsevier DOI
0308
BibRef
Murphey, Y.L.,
Zhang, J.,
del Rose, M.,
Registering Real-Scene to Virtual Imagery Using Robust Image Features,
VMV01(xx-yy).
PDF File.
0209
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.
Elsevier DOI
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 Link.
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 Link.
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 Link.
0509
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 Link.
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.
Elsevier DOI
0610
Georeferencing; Direct; GPS/INS; National; Mapping; Orientation; Transformation
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.
Elsevier DOI
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
0611
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 Link.
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.
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Skaloud, J.[Jan],
Legat, K.[Klaus],
Theory and reality of direct georeferencing in national coordinates,
PandRS(63), No. 2, March 2008, pp. 272-282.
Elsevier DOI
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 Link.
0803
An automated approach for image sequence georegistration utilizing
linear features.
BibRef
Wang, C.X.[Cai-Xia],
Stefanidis, A.[Anthony],
Agouris, P.[Peggy],
Spatial content-based scene similarity assessment,
PandRS(69), No. 1, April 2012, pp. 103-120.
Elsevier DOI
1202
BibRef
Earlier:
Relaxation Matching for Georegistration of Aerial and Satellite Imagery,
ICIP07(V: 449-452).
IEEE DOI
0709
Scene matching; Similarity metrics; Image matching
BibRef
Xue, Y.[Yong],
Wan, W.[Wei],
Li, Y.J.[Ying-Jie],
Guang, J.[Jie],
Bai, L.Y.F.[Lin-Yi-Fan],
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
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
0804
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
0709
BibRef
Munoz-Mari, J.,
Tuia, D.[Devis],
Camps-Valls, G.[Gustau],
Semisupervised Classification of Remote Sensing Images With Active
Queries,
GeoRS(50), No. 10, October 2012, pp. 3751-3763.
IEEE DOI
1210
See also Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines.
BibRef
Tuia, D.,
Munoz-Mari, J.,
Learning User's Confidence for Active Learning,
GeoRS(51), No. 2, February 2013, pp. 872-880.
IEEE DOI
1302
BibRef
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
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 Link.
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
Wiebe, H.,
Heygster, G.,
Meyer-Lerbs, L.,
Geolocation of AMSR-E Data,
GeoRS(46), No. 10, October 2008, pp. 3098-3103.
IEEE DOI
0810
BibRef
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
0901
BibRef
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
0804
BibRef
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
0903
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
0912
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
1008
BibRef
Sebari, I.[Imane],
He, D.C.[Dong-Chen],
Automatic fuzzy object-based analysis of VHSR images for urban objects
extraction,
PandRS(79), No. 1, May 2013, pp. 171-184.
Elsevier DOI
1305
Automatic object extraction; Object Based Image Analysis (OBIA); Fuzzy
rule base; VHSR satellite images; Urban areas
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
1001
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
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
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
1003
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
1103
BibRef
Earlier: A2, A1, A3:
3D city registration and enrichment,
CityModels09(xx-yy).
PDF File.
0912
Internet/web; Geometry; Georeferencing; Registration; Retrieval
BibRef
Mohamed, A.,
Wilkinson, B.,
Direct Georeferencing of Stationary LiDAR,
RS(1), No. 4, December 2009, pp. 1321-1337.
DOI Link
1203
BibRef
Vennegeerts, H.[Harald],
Paffenholz, J.A.[Jens-André],
Martin, J.[Jens],
Kutterer, H.[Hansjörg],
Two Variants on Direct Geo-referencing of Terrestrial Laser Scans,
PFG(2009), No. 1, 2009, pp. 33-42.
WWW Link.
1211
BibRef
Zhao, H.T.[Hai-Tao],
Zhang, B.[Bing],
Wu, C.S.[Chang-Shan],
Zuo, Z.L.[Zheng-Li],
Chen, Z.C.[Zheng-Chao],
Development of a Coordinate Transformation method for direct
georeferencing in map projection frames,
PandRS(77), No. 1, March 2013, pp. 94-103.
Elsevier DOI
1303
Coordinate transformation; GPS/INS; Local tangent frame; Map projection
frame; Orientation angles; Direct georeferencing
BibRef
Wang, M.,
Song, T.,
Remote Sensing Image Retrieval by Scene Semantic Matching,
GeoRS(51), No. 5, May 2013, pp. 2874-2886.
IEEE DOI
1305
spatial scene similarity matching
BibRef
Moradi, I.,
Meng, H.,
Ferraro, R.R.,
Bilanow, S.,
Correcting Geolocation Errors for Microwave Instruments
Aboard NOAA Satellites,
GeoRS(51), No. 6, 2013, pp. 3625-3637.
IEEE DOI
1307
error correction; Geology
BibRef
Zhang, Y.J.[Yong-Jun],
Shen, X.[Xiang],
Direct georeferencing of airborne LiDAR data in national coordinates,
PandRS(84), No. 0, 2013, pp. 43-51.
Elsevier DOI
1309
Distortion
BibRef
Lemoine, G.[Guido],
Giovalli, M.[Martina],
Geo-Correction of High-Resolution Imagery Using Fast Template
Matching on a GPU in Emergency Mapping Contexts,
RS(5), No. 9, 2013, pp. 4488-4502.
DOI Link
1310
BibRef
Topan, H.,
Maktav, D.,
Efficiency of Orientation Parameters on Georeferencing Accuracy of
SPOT-5 HRG Level-1A Stereoimages,
GeoRS(52), No. 6, June 2014, pp. 3683-3694.
IEEE DOI
1403
Accuracy
BibRef
Turner, D.,
Lucieer, A.,
Wallace, L.,
Direct Georeferencing of Ultrahigh-Resolution UAV Imagery,
GeoRS(52), No. 5, May 2014, pp. 2738-2745.
IEEE DOI
1403
Remote sensing;unmanned aerial vehicles (UAVs)
BibRef
Zhao, H.T.[Hai-Tao],
Zhang, B.[Bing],
Wu, C.S.[Chang-Shan],
Zuo, Z.L.[Zheng-Li],
Chen, Z.C.[Zheng-Chao],
Bi, J.T.[Jian-Tao],
Direct georeferencing of oblique and vertical imagery in different
coordinate systems,
PandRS(95), No. 1, 2014, pp. 122-133.
Elsevier DOI
1408
Oblique camera
BibRef
Yammine, G.[Gilbert],
Wige, E.[Eugen],
Simmet, F.[Franz],
Niederkorn, D.[Dieter],
Kaup, A.[Andre],
Novel Similarity-Invariant Line Descriptor and Matching Algorithm for
Global Motion Estimation,
CirSysVideo(24), No. 8, August 2014, pp. 1323-1335.
IEEE DOI
1410
BibRef
Earlier:
A novel similarity-invariant line descriptor for geometric map
registration,
ICIP13(3017-3021)
IEEE DOI
1402
error detection.
line descriptor; motion tracking; navigation maps
BibRef
Nurminen, K.[Kimmo],
Litkey, P.[Paula],
Honkavaara, E.[Eija],
Vastaranta, M.[Mikko],
Holopainen, M.[Markus],
Lyytikäinen-Saarenmaa, P.[Päivi],
Kantola, T.[Tuula],
Lyytikäinen, M.[Minna],
Automation Aspects for the Georeferencing of Photogrammetric Aerial
Image Archives in Forested Scenes,
RS(7), No. 2, 2015, pp. 1565-1593.
DOI Link
1503
BibRef
Jeong, J.[Jaehoon],
Yang, C.[Chansu],
Kim, T.[Taejung],
Geo-Positioning Accuracy Using Multiple-Satellite Images:
IKONOS, QuickBird, and KOMPSAT-2 Stereo Images,
RS(7), No. 4, 2015, pp. 4549-4564.
DOI Link
1505
BibRef
Zhao, Q.Y.[Quan-Ying],
Hütt, C.[Christoph],
Lenz-Wiedemann, V.I.S.[Victoria I. S.],
Miao, Y.X.[Yu-Xin],
Yuan, F.[Fei],
Zhang, F.[Fusuo],
Bareth, G.[Georg],
Georeferencing Multi-source Geospatial Data Using Multi-temporal
TerraSAR-X Imagery: a Case Study in Qixing Farm, Northeast China,
PFG(2015), No. 2, 2015, pp. 173-185.
DOI Link
1506
BibRef
Shen, X.[Xiang],
Zhang, Y.J.[Yong-Jun],
Li, Q.Q.[Qing-Quan],
Accurate direct georeferencing of aerial imagery in national
coordinates,
PandRS(105), No. 1, 2015, pp. 13-18.
Elsevier DOI
1506
Correction
BibRef
Ji, S.P.[Shun-Ping],
Shi, Y.[Yun],
Shan, J.[Jie],
Shao, X.W.[Xiao-Wei],
Shi, Z.C.[Zhong-Chao],
Yuan, X.X.[Xiu-Xiao],
Yang, P.[Peng],
Wu, W.B.[Wen-Bin],
Tang, H.J.[Hua-Jun],
Shibasaki, R.[Ryosuke],
Particle filtering methods for georeferencing panoramic image
sequence in complex urban scenes,
PandRS(105), No. 1, 2015, pp. 1-12.
Elsevier DOI
1506
Mobile mapping
BibRef
Schubert, A.[Adrian],
Small, D.[David],
Miranda, N.[Nuno],
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Synthetic aperture radar, Geology, Azimuth, Orbits,
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Roads, Geology, Image segmentation, Urban areas,
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The Micro-Wave Radiation Imager.
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Microwave radiometry, Detectors, Timing, Geology, Instruments,
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Feature extraction, Satellites, Drones, Buildings, Task analysis,
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IP(31), 2022, pp. 2094-2105.
IEEE DOI
2203
Training, Feature extraction, Task analysis, Pipelines, Transforms,
Databases, Representation learning, Image geo-localization,
cross-view retrieval
BibRef
Cho, S.J.[Sung-Jin],
Kim, C.[Chansoo],
Sunwoo, M.[Myoungho],
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ITS(23), No. 4, April 2022, pp. 3783-3789.
IEEE DOI
2204
Simultaneous localization and mapping, Real-time systems,
Mathematical model, Windows, Vehicle dynamics, Laser radar, LiDAR,
autonomous car
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A Visual Compass Based on Point and Line Features for UAV
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Yang, Y.[Yi],
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Joint Representation Learning and Keypoint Detection for Cross-View
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IEEE DOI
2206
Feature extraction, Convolution, Task analysis, Location awareness,
Visualization, Visual systems, Representation learning, attention
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Dai, M.[Ming],
Hu, J.H.[Jian-Hong],
Zhuang, J.[Jiedong],
Zheng, E.[Enhui],
A Transformer-Based Feature Segmentation and Region Alignment Method
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CirSysVideo(32), No. 7, July 2022, pp. 4376-4389.
IEEE DOI
2207
Transformers, Heating systems, Feature extraction, Drones,
Satellites, Task analysis, Location awareness, Image retrieval,
drone
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Tian, X.Y.[Xiao-Yang],
Shao, J.[Jie],
Ouyang, D.Q.[De-Qiang],
Shen, H.T.[Heng Tao],
UAV-Satellite View Synthesis for Cross-View Geo-Localization,
CirSysVideo(32), No. 7, July 2022, pp. 4804-4815.
IEEE DOI
2207
Satellites, Unmanned aerial vehicles, Feature extraction,
Task analysis, Location awareness, Image matching, Visualization,
image synthesis
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Milleville, K.[Kenzo],
Verstockt, S.[Steven],
van de Weghe, N.[Nico],
Automatic Georeferencing of Topographic Raster Maps,
IJGI(11), No. 7, 2022, pp. xx-yy.
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Georeferencing oblique PhenoCam imagery,
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Elsevier DOI
2208
Photogrammetry, Oblique Imagery, Near-surface Remote-Sensing, Georeferencing
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Geolocation Assessment and Optimization for OMPS Nadir Mapper:
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Yu, K.[Kun],
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Automatic Matching of Multimodal Remote Sensing Images via Learned
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A novel solution for stereo three-dimensional localization combined
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2209
Spaceborne synthetic aperture radar, Stereo SAR,
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Images from 1960s spy missions.
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IEEE DOI
2302
Satellites, Cameras, Location awareness, Transforms, Databases,
Task analysis, Image matching, Camera geo-localization, geotagging
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Wen, J.R.[Jing-Ren],
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2305
Global Positioning System, Hidden Markov models, Roads, Trajectory,
Measurement errors, Collaboration, Current measurement,
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Elsevier DOI
2306
Incremental learning, Object detection, Relative localization,
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Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval,
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IEEE DOI
2306
Image retrieval, Task analysis, Feature extraction, Drones,
Satellites, Location awareness, Representation learning,
representation learning
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A Robust and High-Precision Three-Step Positioning Method for an
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Hvizdák, L.[Ladislav],
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Domaracká, L.[Lucia],
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IJGI(12), No. 8, 2023, pp. 345.
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2309
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Martin-Lac, V.[Victor],
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A Generic, Multimodal Geospatial Data Alignment System for Aerial
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DOI Link
2310
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Wang, H.Y.[Hao-Yan],
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Li, S.H.[Shao-Hua],
Liang, B.[Bo],
He, Z.Y.[Zong-Yi],
A Path Increment Map Matching Method for High-Frequency Trajectory,
ITS(24), No. 10, October 2023, pp. 10948-10962.
IEEE DOI
2310
BibRef
Li, X.[Xin],
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Cui, H.[Hao],
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Analysis of the Matchability of Reference Imagery for Aircraft Based
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2310
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Liu, Z.Q.[Zhuo-Qun],
Guo, F.[Fan],
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Tang, J.[Jin],
CMLocate: A cross-modal automatic visual geo-localization framework
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IET-IPR(17), No. 12, 2023, pp. 3524-3540.
DOI Link
2310
BibRef
And:
Correction:
IET-IPR(18), No. 1, 2024, pp. 280-280.
DOI Link
2401
image retrieval, image segmentation
BibRef
Hou, Q.F.[Qing-Feng],
Lu, J.[Jun],
Guo, H.T.[Hai-Tao],
Liu, X.Y.[Xiang-Yun],
Gong, Z.H.[Zhi-Hui],
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Cai, J.X.[Jun-Xiong],
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SPS: Accurate and Real-Time Semantic Positioning System Based on
Low-Cost DEM Maps,
IP(32), 2023, pp. 6401-6412.
IEEE DOI
2312
BibRef
Dai, M.[Ming],
Zheng, E.[Enhui],
Feng, Z.H.[Zhen-Hua],
Qi, L.[Lei],
Zhuang, J.D.[Jie-Dong],
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Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments,
IP(33), 2024, pp. 493-508.
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WWW Link.
2401
Autonomous aerial vehicles, Task analysis, Satellite images,
Satellites, Location awareness, Drones, Web services, image retrieval
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Zhang, W.H.[Wen-Hui],
Zhong, Z.N.[Zhi-Nong],
Chen, H.[Hao],
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GeoViewMatch: A Multi-Scale Feature-Matching Network for Cross-View
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Li, Y.F.[Yong-Fei],
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Geolocalization from Aerial Sensing Images Using Road Network
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Sun, C.Y.[Chang-Yin],
DeHi: A Decoupled Hierarchical Architecture for Unaligned
Ground-to-Aerial Geo-Localization,
CirSysVideo(34), No. 3, March 2024, pp. 1927-1940.
IEEE DOI
2403
Transformers, Task analysis, Computer architecture,
Feature extraction, Convolutional neural networks,
multi-level deep supervision
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Gong, N.[Naiqun],
Li, L.W.[Li-Wei],
Sha, J.J.[Jian-Jun],
Sun, X.[Xu],
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A Satellite-Drone Image Cross-View Geolocalization Method Based on
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IML-Net: A Framework for Cross-View Geo-Localization with
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Zhao, Z.[Zilu],
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You, H.J.[Hong-Jian],
Lightweight and Stable Multi-Feature Databases for Efficient
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RS(16), No. 7, 2024, pp. 1237.
DOI Link
2404
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Wang, T.[Tingyu],
Zheng, Z.[Zhedong],
Sun, Y.Q.[Yao-Qi],
Yan, C.G.[Cheng-Gang],
Yang, Y.[Yi],
Chua, T.S.[Tat-Seng],
Multiple-environment Self-adaptive Network for aerial-view
geo-localization,
PR(152), 2024, pp. 110363.
Elsevier DOI
2405
Cross-view geo-localization, Deep learning, Image retrieval,
Multi-source domain generalization, Multi-platform collaboration
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Liu, C.[Cuiwei],
Li, S.[Shishen],
Du, C.[Chong],
Qiu, H.J.[Huai-Jun],
Adaptive Global Embedding Learning:
A Two-Stage Framework for UAV-View Geo-Localization,
SPLetters(31), 2024, pp. 1239-1243.
IEEE DOI
2405
Training, Task analysis, Prototypes, Head, Adaptive systems,
Location awareness, Satellites, Cross-view matching loss,
UAV-view geo-localization
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Ye, Q.[Qin],
Luo, J.Q.[Jun-Qi],
Lin, Y.[Yi],
A coarse-to-fine visual geo-localization method for GNSS-denied UAV
with oblique-view imagery,
PandRS(212), 2024, pp. 306-322.
Elsevier DOI
2406
UAV tilt photogrammetry, Visual geo-localization,
Cross-view image matching, Image-level to pixel-level localization
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de Luca, G.[Giandomenico],
Carotenuto, F.[Federico],
Genesio, L.[Lorenzo],
Pepe, M.[Monica],
Toscano, P.[Piero],
Boschetti, M.[Mirco],
Miglietta, F.[Franco],
Gioli, B.[Beniamino],
Improving PRISMA hyperspectral spatial resolution and geolocation by
using Sentinel-2: development and test of an operational procedure in
urban and rural areas,
PandRS(215), 2024, pp. 112-135.
Elsevier DOI
2408
Hyperspectral, Multispectral, Image fusion, Pansharpening,
Co-registration, HySure, AROSICS
BibRef
He, Q.[Qiyi],
Xu, A.[Ao],
Zhang, Y.F.[Yi-Fan],
Ye, Z.W.[Zhi-Wei],
Zhou, W.[Wen],
Xi, R.J.[Rui-Jie],
Lin, Q.[Qiao],
A Contrastive Learning Based Multiview Scene Matching Method for UAV
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RS(16), No. 16, 2024, pp. 3039.
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Liu, J.L.[Jian-Li],
Xiao, J.C.[Jin-Cheng],
Ren, Y.F.[Ya-Feng],
Liu, F.[Fei],
Yue, H.Y.[Huan-Yin],
Ye, H.[Huping],
Li, Y.C.[Ying-Cheng],
Multi-Source Image Matching Algorithms for UAV Positioning:
Benchmarking, Innovation, and Combined Strategies,
RS(16), No. 16, 2024, pp. 3025.
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Song, Z.[Ze],
Kang, X.D.[Xu-Dong],
Wei, X.H.[Xiao-Hui],
Li, S.T.[Shu-Tao],
Liu, H.B.[Hai-Bo],
Unified and Real-Time Image Geo-Localization via Fine-Grained Overlap
Estimation,
IP(33), 2024, pp. 5060-5072.
IEEE DOI
2410
Real-time systems, Feature extraction, Semantics, Accuracy, Satellites,
Location awareness, Estimation, Image geo-localization, real-time
BibRef
Sun, J.[Jian],
Sun, H.[Hao],
Lei, L.[Lin],
Ji, K.[Kefeng],
Kuang, G.Y.[Gang-Yao],
TirSA: A Three Stage Approach for UAV-Satellite Cross-View
Geo-Localization Based on Self-Supervised Feature Enhancement,
CirSysVideo(34), No. 9, September 2024, pp. 7882-7895.
IEEE DOI Code:
WWW Link.
2410
Drones, Buildings, Task analysis, Satellites, Measurement,
Location awareness, Sun, Self-supervised learning, cross domain
BibRef
Zhang, X.H.[Xiao-Han],
Li, X.Y.[Xing-Yu],
Sultani, W.[Waqas],
Chen, C.[Chen],
Wshah, S.[Safwan],
GeoDTR+: Toward Generic Cross-View Geolocalization via Geometric
Disentanglement,
PAMI(46), No. 12, December 2024, pp. 10419-10433.
IEEE DOI
2411
Feature extraction, Layout, Training, Correlation, Transformers,
Data mining, Accuracy, Visual geolocalization, metric learning
BibRef
Duan, X.[Xuzhe],
Wu, M.[Meng],
Xiong, C.[Chao],
Hu, Q.W.[Qing-Wu],
Zhao, P.C.[Peng-Cheng],
A Base-Map-Guided Global Localization Solution for Heterogeneous
Robots Using a Co-View Context Descriptor,
RS(16), No. 21, 2024, pp. 4027.
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Wang, T.Y.[Ting-Yu],
Yang, Z.[Zihao],
Chen, Q.[Quan],
Sun, Y.Q.[Yao-Qi],
Yan, C.G.[Cheng-Gang],
Rethinking Pooling for Multi-Granularity Features in Aerial-View
Geo-Localization,
SPLetters(31), 2024, pp. 3005-3009.
IEEE DOI
2411
Feature extraction, Visualization, Drones, Training, Sun, Satellites,
Computational efficiency, Pipelines, Image coding, Buildings, initialization
BibRef
Haas, L.[Lukas],
Skreta, M.[Michal],
Alberti, S.[Silas],
Finn, C.[Chelsea],
PIGEON: Predicting Image Geolocations,
CVPR24(12893-12902)
IEEE DOI Code:
WWW Link.
2410
Accuracy, Geology, Semantics, Games, Benchmark testing, Internet,
Image Geolocalization, Visual Place Recognition, CLIP
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Astruc, G.[Guillaume],
Dufour, N.[Nicolas],
Siglidis, I.[Ioannis],
Aronssohn, C.[Constantin],
Bouia, N.[Nacim],
Fu, S.[Stephanie],
Loiseau, R.[Romain],
Nguyen, V.N.[Van Nguyen],
Raude, C.[Charles],
Vincent, E.[Elliot],
Xu, L.T.[Lin-Tao],
Zhou, H.Y.[Hong-Yu],
Landrieu, L.[Loic],
OpenStreetView-5M: The Many Roads to Global Visual Geolocation,
CVPR24(21967-21977)
IEEE DOI
2410
Training, Visualization, Geology, Computational modeling, Roads,
Self-supervised learning, Geolocation, Street view, Open-access
BibRef
Li, G.[Guopeng],
Qian, M.[Ming],
Xia, G.S.[Gui-Song],
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization,
CVPR24(16719-16729)
IEEE DOI Code:
WWW Link.
2410
Training, Costs, Codes, Imaging, Benchmark testing, Satellite images,
Cross-View Geo-Localization, Unsupervised Learning, Semi-Supervised Learning
BibRef
Berton, G.[Gabriele],
Goletto, G.[Gabriele],
Trivigno, G.[Gabriele],
Stoken, A.[Alex],
Caputo, B.[Barbara],
Masone, C.[Carlo],
EarthMatch: Iterative Coregistration for Fine-grained Localization of
Astronaut Photography,
IMW24(4264-4274)
IEEE DOI Code:
WWW Link.
2410
Climate change, Photography, Space exploration, Image matching,
Image retrieval, Location awareness, Large Scale Localization
BibRef
Shugaev, M.[Maxim],
Semenov, I.[Ilya],
Ashley, K.[Kyle],
Klaczynski, M.[Michael],
Cuntoor, N.[Naresh],
Lee, M.W.[Mun Wai],
Jacobs, N.[Nathan],
ArcGeo: Localizing Limited Field-of-View Images using Cross-view
Matching,
WACV24(208-217)
IEEE DOI
2404
Training, Computational modeling, Image matching, Image retrieval,
Symbols, Data augmentation, Robustness, Algorithms, Remote Sensing
BibRef
Yuan, D.[Dong],
Maire, F.[Frederic],
Dayoub, F.[Feras],
Cross-Attention Between Satellite and Ground Views for Enhanced
Fine-Grained Robot Geo-Localization,
WACV24(1238-1245)
IEEE DOI
2404
Location awareness, Satellites, Correlation, Estimation,
Network architecture, Robustness, Algorithms, Robotics
BibRef
Shi, Y.J.[Yu-Jiao],
Wu, F.[Fei],
Perincherry, A.[Akhil],
Vora, A.[Ankit],
Li, H.D.[Hong-Dong],
Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via
Geometry-Guided Cross-View Transformer,
ICCV23(21459-21469)
IEEE DOI
2401
BibRef
Deuser, F.[Fabian],
Habel, K.[Konrad],
Oswald, N.[Norbert],
Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation,
ICCV23(16801-16810)
IEEE DOI
2401
BibRef
Gu, B.[Bo],
Ling, H.[Hefei],
Shi, Y.X.[Yu-Xuan],
Li, Z.Y.[Zong-Yi],
Zhao, C.[Chuang],
Li, P.[Ping],
Cao, Q.[Qiang],
Mutual Relative Position Learning Transformer for Cross-View
Geo-Localization,
ICIP23(286-290)
IEEE DOI
2312
BibRef
Fervers, F.[Florian],
Bullinger, S.[Sebastian],
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Arens, M.[Michael],
Stiefelhagen, R.[Rainer],
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CVPR23(21621-21631)
IEEE DOI
2309
BibRef
Stoken, A.[Alex],
Fisher, K.[Kenton],
Find My Astronaut Photo: Automated Localization and Georectification
of Astronaut Photography,
IMW23(6196-6205)
IEEE DOI
2309
BibRef
Zhang, X.H.[Xiao-Han],
Sultani, W.[Waqas],
Wshah, S.[Safwan],
Cross-View Image Sequence Geo-localization,
WACV23(2913-2922)
IEEE DOI
2302
Databases, Image sequences, Global Positioning System, Videos,
Applications: Remote Sensing, visual reasoning
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Li, C.[Chao],
Liu, G.[Ganchao],
Yuan, Y.[Yuan],
A Multi-Source Image Matching Network for UAV Visual Location,
ICIP22(1651-1655)
IEEE DOI
2211
Location awareness, Visualization, Adaptation models, Satellites,
Image matching, Autonomous aerial vehicles, Feature extraction, UAV image
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Berton, G.[Gabriele],
Masone, C.[Carlo],
Caputo, B.[Barbara],
Rethinking Visual Geo-localization for Large-Scale Applications,
CVPR22(4868-4878)
IEEE DOI
2210
Training, Visualization, Codes, Urban areas, Memory management,
Graphics processing units, Recognition: detection,
Datasets and evaluation
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Berton, G.[Gabriele],
Mereu, R.[Riccardo],
Trivigno, G.[Gabriele],
Masone, C.[Carlo],
Csurka, G.[Gabriela],
Sattler, T.[Torsten],
Caputo, B.[Barbara],
Deep Visual Geo-localization Benchmark,
CVPR22(5386-5397)
IEEE DOI
2210
Measurement, Visualization, Protocols, Image resolution,
Computational modeling, Pipelines, Recognition: detection,
Datasets and evaluation
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Zhu, S.[Sijie],
Shah, M.[Mubarak],
Chen, C.[Chen],
TransGeo: Transformer Is All You Need for Cross-view Image
Geo-localization,
CVPR22(1152-1161)
IEEE DOI
2210
Costs, Image resolution, Image recognition, Correlation, Transforms,
Transformers, Recognition: detection, categorization, retrieval,
Photogrammetry and remote sensing
BibRef
Lembach, J.[Johann],
Stricker, R.[Ronny],
Gross, H.M.[Horst-Michael],
Efficient Implementation of Regional Mutual Information for the
Registration of Road Images,
IPTA20(1-6)
IEEE DOI
2206
Measurement, Roads, Tools, Performance gain, Robustness,
Mutual information, Optimization, regional mutual information,
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Panagiotopoulos, A.[Apostolos],
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MMMod22(II:369-381).
Springer DOI
2203
BibRef
Berton, G.[Gabriele],
Masone, C.[Carlo],
Paolicelli, V.[Valerio],
Caputo, B.[Barbara],
Viewpoint Invariant Dense Matching for Visual Geolocalization,
ICCV21(12149-12158)
IEEE DOI
2203
Visualization, Geology, Image matching, Pipelines, Lighting,
Feature extraction,
Vision for robotics and autonomous vehicles
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Tomešek, J.[Jan],
Cadík, M.[Martin],
Brejcha, J.[Jan],
CrossLocate: Cross-modal Large-scale Visual Geo-Localization in
Natural Environments using Rendered Modalities,
WACV22(2193-2202)
IEEE DOI
2202
Location awareness, Visualization, Solid modeling,
Image segmentation, Semantics,
Vision for Aerial/Drone/Underwater/Ground Vehicles
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Rodrigues, R.[Royston],
Tani, M.[Masahiro],
Global Assists Local: Effective Aerial Representations for Field of
View Constrained Image Geo-Localization,
WACV22(2694-2702)
IEEE DOI
2202
Training, Image recognition, Satellites, Databases,
Geology, Buildings, Image/Video Indexing and Retrieval Scene Understanding
BibRef
Christie, G.[Gordon],
Foster, K.[Kevin],
Hagstrom, S.[Shea],
Hager, G.D.[Gregory D.],
Brown, M.Z.[Myron Z.],
Single View Geocentric Pose in the Wild,
EarthVision21(1162-1171)
IEEE DOI
2109
Training, Earth, Satellites, Laser radar, Semantics
BibRef
Zhu, S.[Sijie],
Yang, T.[Taojiannan],
Chen, C.[Chen],
Revisiting Street-to-Aerial View Image Geo-localization and
Orientation Estimation,
WACV21(756-765)
IEEE DOI
2106
Training, Measurement, Visualization,
Pipelines, Estimation
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Vojir, T.[Tomas],
Budvytis, I.[Ignas],
Cipolla, R.[Roberto],
Efficient Large-scale Semantic Visual Localization in 2d Maps,
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2103
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Trusheim, P.,
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Precision of Visual Localization Using Dynamic Ground Control Points,
ISPRS20(B1:363-370).
DOI Link
2012
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Przybilla, H.J.,
Bäumker, M.,
Luhmann, T.,
Hastedt, H.,
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Interaction Between Direct Georeferencing, Control Point Configuration
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ISPRS20(B1:485-492).
DOI Link
2012
BibRef
Guo, J.,
Tu, H.J.,
Li, H.,
Zhao, Y.,
Zhou, J.,
Horizontal Accuracy Assessment of Google Earth Data Over Typical
Regions of Australia Using Worldview,
ISPRS21(B3-2021: 763-768).
DOI Link
2201
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Guo, J.,
Zhang, J.X.,
Zhao, H.T.,
Li, C.,
Zhou, J.,
Tu, H.J.,
Zhao, Y.,
Horizontal Accuracy Assessment of Google Earth Data Over Typical
Regions of Asia,
ISPRS20(B3:1333-1338).
DOI Link
2012
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Kocaman, S.,
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Bas, S.,
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Investigations on the Global Image Datasets for the Absolute Geometric
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ISPRS20(B3:1339-1346).
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2012
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Geng, X.,
Xu, Q.,
Wang, J.,
Xing, S.,
Automatic Evaluation of the Initial Geopositioning Accuracy for Large
Area Planetary Remote Sensing Images,
ISPRS20(B3:1125-1128).
DOI Link
2012
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Archinal, B.A.,
Acton, C.H.,
Conrad, A.,
Duxbury, T.C.,
Hestroffer, D.,
Hilton, J.L.,
Jorda, L.,
Kirk, R.L.,
Klioner, S.A.,
Margot, J.L.,
Oberst, J.,
Paganelli, F.,
Ping, J.,
Seidelmann, P.K.,
Tholen, D.J.,
Williams, I.P.,
Coordination of Planetary Coordinate System Recommendations By the IAU
Working Group on Cartographic Coordinates and Rotational Elements:
2020 Status and Future,
ISPRS20(B3:1091-1097).
DOI Link
2012
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Schachtschneider, J.,
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Creating Multi-temporal Maps of Urban Environments for Improved
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ISPRS20(B2:317-323).
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2012
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Nouduri, K.,
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Yaol, S.,
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Agarwal, S.,
Rao, R.,
Palaniappa, K.,
Deep Learning Based Landmark Matching For Aerial Geolocalization,
ICIP20(1911-1915)
IEEE DOI
2011
Pipelines, Cameras, Urban areas,
Machine learning, Buildings, Visualization, Landmark matching,
visual SLAM
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Cai, S.,
Guo, Y.,
Khan, S.,
Hu, J.,
Wen, G.,
Ground-to-Aerial Image Geo-Localization With a Hard Exemplar
Reweighting Triplet Loss,
ICCV19(8390-8399)
IEEE DOI
2004
feature extraction, geophysical image processing, image matching,
object detection, regression analysis,
Benchmark testing
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Anshar, K.,
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Othman, M.F.I.,
Hotine Oblique Mercator Map Projection in Proj4js Library,
GGT19(123-130).
DOI Link
1912
GIS application using hybrid approach on smartphone. Coordinate tranforms.
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Zhang, X.,
Zhang, J.,
Zhang, L.,
Liu, J.,
Analysis of Common Quality Problems in Coordinate Transformation
Between Reference Coordinate System and Geocentric Coordinate System,
ISSDQ19(1281-1286).
DOI Link
1912
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Zhang, Y.,
Lan, C.,
Shi, Q.,
Cui, Z.,
Sun, W.,
Video Image Target Recognition and Geolocation Method for UAV Based On
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PIA19(285-291).
DOI Link
1912
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Truong Nguyen, G.,
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Formap: a Simple and Fast Photogrammetry Framework for Direct
Geo-referencing Systems,
LC3D19(385-391).
DOI Link
1912
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Cimarelli, C.[Claudio],
Cazzato, D.[Dario],
Olivares-Mendez, M.A.[Miguel A.],
Voos, H.[Holger],
Faster Visual-Based Localization with Mobile-PoseNet,
CAIP19(II:219-230).
Springer DOI
1909
Localization for UAV.
BibRef
Hu, S.,
Feng, M.,
Nguyen, R.M.H.,
Lee, G.H.,
CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial
Geo-Localization,
CVPR18(7258-7267)
IEEE DOI
1812
Satellites, Training, Feature extraction, Task analysis,
Image retrieval, Image matching, Measurement
BibRef
Nassar, A.,
Amer, K.,
El Hakim, R.,
El Helw, M.,
A Deep CNN-Based Framework For Enhanced Aerial Imagery Registration
with Applications to UAV Geolocalization,
Odometry18(1594-159410)
IEEE DOI
1812
Feature extraction, Geology, Global Positioning System,
Unmanned aerial vehicles, Satellites, Cameras
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Krylov, V.A.,
Dahyot, R.,
Object Geolocation Using MRF Based Multi-Sensor Fusion,
ICIP18(2745-2749)
IEEE DOI
1809
Laser radar, Cameras, Geology,
Pipelines, Image segmentation, Object geolocation,
traffic lights
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Jende, P.,
Nex, F.,
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Vosselman, G.,
Fully Automatic Feature-based Registration of Mobile Mapping And Aerial
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Hannover17(317-323).
DOI Link
1805
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Fryskowska, A.,
Accuracy Assessment of Point Clouds Geo-referencing in Surveying And
Documentation of Historical Complexes,
GeomCultural17(161-165).
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1805
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Armagan, A.,
Hirzer, M.,
Roth, P.M.,
Lepetit, V.,
Learning to Align Semantic Segmentation and 2.5D Maps for
Geolocalization,
CVPR17(4590-4597)
IEEE DOI
1711
Buildings, Cameras, Image edge detection, Image segmentation,
Semantics,
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Vincent, L.,
Keynotes: From geo-referenced pixels to knowledge,
VCIP16(1-2)
IEEE DOI
1701
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Ardeshir, S.[Shervin],
Borji, A.[Ali],
Integrating Egocentric Videos in Top-View Surveillance Videos: Joint
Identification and Temporal Alignment,
ECCV18(XI: 300-317).
Springer DOI
1810
BibRef
Earlier:
Ego2Top: Matching Viewers in Egocentric and Top-View Videos,
ECCV16(V: 253-268).
Springer DOI
1611
Which person in top view is the camera in ego view.
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Zhai, M.,
Workman, S.,
Jacobs, N.,
Camera geo-calibration using an MCMC approach,
ICIP16(2976-2980)
IEEE DOI
1610
Azimuth
BibRef
Workman, S.,
Souvenir, R.,
Jacobs, N.,
Wide-Area Image Geolocalization with Aerial Reference Imagery,
ICCV15(3961-3969)
IEEE DOI
1602
Databases
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Di, K.,
Xu, B.,
Liu, B.,
Jia, M.,
Liu, Z.,
Geopositioning Precision Analysis Of Multiple Image Triangulation Using
LRO NAC Lunar Images,
ISPRS16(B4: 369-374).
DOI Link
1610
BibRef
Hosseinpoor, H.R.,
Samadzadegan, F.,
Dadrasjavan, F.,
Pricise Target Geolocation And Tracking Based On UAV Video Imagery,
ISPRS16(B6: 243-249).
DOI Link
1610
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Barazzetti, L.,
Roncoroni, F.,
Brumana, R.,
Previtali, M.,
Georeferencing Accuracy Analysis Of A Single Worldview-3 Image
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DOI Link
1610
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Kim, H.J.,
Dunn, E.[Enrique],
Frahm, J.M.[Jan-Michael],
Learned Contextual Feature Reweighting for Image Geo-Localization,
CVPR17(3251-3260)
IEEE DOI
1711
BibRef
Earlier:
Predicting Good Features for Image Geo-Localization Using Per-Bundle
VLAD,
ICCV15(1170-1178)
IEEE DOI
1602
Buildings, Context modeling, Feature extraction,
Image representation, Training, Visualization.
Feature extraction
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Bodensteiner, C.,
Bullinger, S.,
Lemaire, S.,
Arens, M.,
Single Frame Based Video Geo-Localisation Using Structure Projection,
SatStreet15(1036-1043)
IEEE DOI
1602
Cameras
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Waldhoff, G.,
Eichfuss, S.,
Bareth, G.,
Integration of Remote Sensing Data and Basic Geodata at Different Scale
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ISSDQ15(85-89).
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1602
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Mian, O.,
Lutes, J.,
Lipa, G.,
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Gavelle, E.,
Borghini, S.,
Accuracy Assessment of Direct Georeferencing for Photogrammetric
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EuroCOW16(xx-yy).
DOI Link
1605
BibRef
Earlier:
Direct Georeferencing on Small Unmanned Aerial Platforms for Improved
Reliability and Accuracy of Mapping without the Need for Ground Control
Points,
UAV-g15(397-402).
DOI Link
1512
BibRef
Lo, C.F.,
Tsai, M.L.,
Chiang, K.W.,
Chu, C.H.,
Tsai, G.J.,
Cheng, C.K.,
El-Sheimy, N.,
Ayman, H.,
The Direct Georeferencing Application and Performance Analysis of UAV
Helicopter in GCP-Free Area,
UAV-g15(151-157).
DOI Link
1512
BibRef
Lin, T.Y.[Tsung-Yi],
Cui, Y.[Yin],
Belongie, S.[Serge],
Hays, J.[James],
Learning deep representations for ground-to-aerial geolocalization,
CVPR15(5007-5015)
IEEE DOI
1510
BibRef
Liu, H.S.,
Liao, H.M.,
Develop Direct Geo-referencing System Based on Open Source Software and
Hardware Platform,
CIPA15(295-297).
DOI Link
1508
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Bampis, L.[Loukas],
Karakasis, E.G.[Evangelos G.],
Amanatiadis, A.[Angelos],
Gasteratos, A.[Antonios],
Can Speedup Assist Accuracy? An On-Board GPU-Accelerated Image
Georeference Method for UAVs,
CVS15(104-114).
Springer DOI
1507
BibRef
Weber, I.,
Jenal, A.,
Kneer, C.,
Bongartz, J.,
Pantir: A Dual Camera Setup for Precise Georeferencing and Mosaicing of
Thermal Aerial Images,
PIA15(269-272).
DOI Link
1504
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Shan, Q.[Qi],
Wu, C.C.[Chang-Chang],
Curless, B.[Brian],
Furukawa, Y.[Yasutaka],
Hernandez, C.[Carlos],
Seitz, S.M.[Steven M.],
Accurate Geo-Registration by Ground-to-Aerial Image Matching,
3DV14(525-532)
IEEE DOI
1503
Accuracy
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Filho, P.S.[Paulo Silva],
Rodrigues, M.[Marcel],
Saotome, O.[Osamu],
Shiguemori, E.H.[Elcio H.],
Fuzzy-Based Automatic Landmark Recognition in Aerial Images Using ORB
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ISVC14(I: 467-476).
Springer DOI
1501
BibRef
Alqurashi, M.,
Wang, J.,
Impacts of stochastic models on real-time 3D UAV mapping,
LandImaging14(35-44).
DOI Link
1411
mapping using direct geo-referencing
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DOI Link
1411
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Springer DOI
1408
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ECCV14(VI: 602-617).
Springer DOI
1408
BibRef
Toriya, H.,
Kitahara, I.,
Ohta, Y.,
A Mobile Camera Localization Method Using Aerial-View Images,
ACPR13(49-53)
IEEE DOI
1408
cameras
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Antonisse, J.,
Braun, A.,
Lenihan, M.,
Brennan, M.,
Image georegistration methods: A framework for application guidelines,
AIPR13(1-14)
IEEE DOI
1408
autonomous aerial vehicles
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Zhang, C.X.,
Wen, G.J.,
Lin, Z.R.,
Li, F.D.,
Yao, Y.G.,
A Digital-Map Aided Target Location in an Aerial Image,
UAV-g13(413-417).
DOI Link
1311
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Skaloud, J.,
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Lichti, D.,
Mapping with MAV: Experimental Study on the Contribution of Absolute
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1404
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1311
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Camps, O.[Octavia],
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1311
BibRef
Hammoud, R.I.[Riad I.],
Kuzdeba, S.A.[Scott A.],
Berard, B.[Brian],
Tom, V.[Victor],
Ivey, R.[Richard],
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HandUber, J.[Jason],
Vinciguerra, L.[Lori],
Shnidman, N.[Nathan],
Smiley, B.[Byron],
Overhead-Based Image and Video Geo-localization Framework,
PBVS13(320-327)
IEEE DOI
1309
fusion; geo-localization; image search; matching
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Boukerch, I.,
Hadeid, M.,
Mahmoudi, R.,
Takarli, B.,
Hasni, K.,
Rigorous Georeferencing of ALSAT-2A Panchromatic and Multispectral
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Hannover13(35-39).
DOI Link
1308
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Hellwich, O.[Olaf],
Wefelscheid, C.[Cornelius],
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1307
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Hartmann, W.,
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ISPRS12(XXXIX-B6:111-116).
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1209
Thermal is somewhat different problem from visible.
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Rizaldy, A.,
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1204
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AIPR13(1-6)
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1408
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Earlier:
Automated georegistration of motion imagery,
AIPR11(1-6).
IEEE DOI
1204
aircraft
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Recio, J.A.,
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IEEE DOI
1111
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Yue, X.J.,
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1111
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PIA11(85-95).
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1110
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Bijker, W.[Wietske],
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IEEE DOI
1109
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Kohoutek, T.K.[Tobias K.],
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Alkan, M.,
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Miri, M.,
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1103
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Xu, J.[Jiong],
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1011
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Park, M.W.[Min-Woo],
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1011
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Yanagisawa, H.[Hiroki],
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