22.9.4 ATR -- Vehicles, Aerial Images, Vehicle Detection

Chapter Contents (Back)
ATR. Vehicles. Aerial Images. Vehicle Detection. See also Traffic Surveillance, Analysis, Aerial Images, Airborne Sensors. For ground level views: See also Vehicle Recognition, Car Recognition, Vehicle Detection.

Klausmann, P., Kroschel, K., Willersinn, D.,
Performance prediction of vehicle detection algorithms,
PR(32), No. 12, December 1999, pp. 2063-2065.
Elsevier DOI BibRef 9912

Tang, G.Y., Huang, T.S.,
Using the Creation Machine to Locate Airplanes on Aerial Photos,
PR(12), No. 6, 1980, pp. 431-441.
Elsevier DOI BibRef 8000

Solka, J.L., Marchette, D.J., Wallet, B.C., Irwin, V.L., and Rogers, G.W.,
Identification of Man-Made Regions in Unmanned Aerial Vehicle Imagery and Videos,
PAMI(20), No. 8, August 1998, pp. 852-857.
IEEE DOI Statistical classification to find regions of interest in such data. BibRef 9808

Trivedi, M.M.[Mohan M.], and Harlow, C.A.[Charles A.],
Identification of Unique Objects in High Resolution Aerial Images,
OptEng(24), No. 3, May-June 1985, pp. 502-506. BibRef 8505

Trivedi, M.M., and Harlow, C.A.,
Incorporating Spectral and Spatial Knowledge in the Identification of Unique Objects in High Resolution Aerial Images,
SPIE(485), May 1984, pp. 214-219. BibRef 8405

Trivedi, M.M., Bokil, A., Takla, M., Maksymonko, G.B., and Broach, T.,
Analysis of High Resolution Imagery for Object Detection,
SPIE(1099), March 1989. BibRef 8903

Trivedi, M.M.,
Object Detection Using Their Multispectral Characteristics,
SPIE(754), January 1987. pp. xx. BibRef 8701

Shirvaikar, M.V., and Trivedi, M.M.,
Design and Evaluation of a Multistage Object Detection Approach,
SPIE(1293), Applications of AI VIII, Orlando, FL, April 1990, pp. 14-22. BibRef 9004

Trivedi, M.M.[Mohan M.],
Object Detection in High Resolution Multispectral Images,
SPIE(933), Multispectral Image Processing and Enhancement, Orlando, FL, April 1988, pp. 8-14. Pyramids. BibRef 8804

Trivedi, M.M., Harlow, C.A., Cress, D.H., and Chen, C.,
Detection of Objects in High Resolution Multispectral Aerial Images,
SPIE(548), Applications of Artificial Intelligence II, Arlington, VA, April 1985, pp. 258-262. BibRef 8504

Moon, H.K.[Han-Kyu], Chellappa, R., Rosenfeld, A.,
Performance Analysis of a Simple Vehicle Detction Algorithm,
IVC(20), No. 1, January 2002, pp. 1-13.
Elsevier DOI 0201
BibRef
Earlier: UMD--TR4045, August 1999. Empirical Evaluation. Vehicle Counting.
WWW Link. BibRef

Burlina, P., Parameswaran, V., Chellappa, R.,
Sensitivity Analysis and Learning Strategies for Context-Based Vehicle Detection Algorithms,
DARPA97(577-584). BibRef 9700

Rajagopalan, A.N.[Ambasamudram N.], Chellappa, R.[Rama],
Higher-Order-Statistics-Based Detection of Vehicles in Still Images,
JOSA-A(18), No. 12, December 2001, pp. 3037-3048.
WWW Link. 0201
BibRef
Earlier: UMD--TR4189, September 2000.
WWW Link. BibRef

Rajagopalan, A.N., Burlina, P., Chellappa, R.,
Higher Order Statistical Learning for Vehicle Detection in Images,
ICCV99(1204-1209).
IEEE DOI BibRef 9900

Zhao, T.[Tao], Nevatia, R.[Ram],
Car Detection in Low Resolution Aerial Images,
IVC(21), No. 8, August 2003, pp. 693-703.
Elsevier DOI 0307
BibRef
Earlier: ICCV01(I: 710-717).
IEEE DOI 0106
BibRef USC Computer VisionUse a simple generic 3-D model of the car. Match edge features. BibRef

Besada, J.A., Molina, J.M., García, J., Berlanga, A., Portillo, J.I.,
Aircraft identification integrated into an airport surface surveillance video system,
MVA(15), No. 3, July 2004, pp. 164-171.
Springer DOI 0407
BibRef

Howard, D.[Daniel], Roberts, S.C.[Simon C.], Ryan, C.[Conor],
Pragmatic Genetic Programming strategy for the problem of vehicle detection in airborne reconnaissance,
PRL(27), No. 11, August 2006, pp. 1275-1288.
Elsevier DOI Genetic Programming; Method of stages; Discrete Fourier transform 0606
BibRef

Pegler, K.[Kevin], Colemen, D.[David], Pelot, R.[Ronald], Keller, C.P.[C. Peter],
An Enhanced Spatio-spectral Template for Automatic Small Recreational Vessel Detection,
PhEngRS(73), No. 1, January 2007, pp. 79-88.
WWW Link. 0704
The utility of an enhanced spatio-spectral template used in conjunction with Ikonos imagery to detect small recreational vessels. BibRef

Jin, X.Y.[Xiao-Ying], Davis, C.H.[Curt H.],
Vehicle detection from high-resolution satellite imagery using morphological shared-weight neural networks,
IVC(25), No. 9, 1 September 2007, pp. 1422-1431.
Elsevier DOI 0707
Vehicle detection; High-resolution satellite imagery; Neural networks; Feature extraction; IKONOS BibRef

Xiong, Z.[Zhen], Zhang, Y.[Yun],
An Initial Study on Vehicle Information Extraction from Single Pass QuickBird Satellite Imagery,
PhEngRS(74), No. 11, November 2008, pp. 1401-1412.
WWW Link. 0804
A direct location algorithm to calculate vehicle's ground position from its image position based on a Digital Elevation Model. See also Novel Interest-Point-Matching Algorithm for High-Resolution Satellite Images, A. BibRef

Eikvil, L.[Line], Aurdal, L.[Lars], Koren, H.[Hans],
Classification-based vehicle detection in high-resolution satellite images,
PandRS(64), No. 1, January 2009, pp. 65-72.
Elsevier DOI 0804
Quickbird; Vehicle detection; Classification BibRef

Yue, Z.F.[Zhan-Feng], Guarino, D.[David], Chellappa, R.[Rama],
Moving Object Verification in Airborne Video Sequences,
CirSysVideo(19), No. 1, January 2009, pp. 77-89.
IEEE DOI 0902
BibRef
Earlier: A1, A3, A2:
Moving Object Verification from Airborne Video,
CVS06(29).
IEEE DOI 0602
BibRef

Holt, A.C.[Ashley C.], Seto, E.Y.W.[Edmund Y.W.], Rivard, T.[Tom], Gong, P.[Peng],
Object-based Detection and Classification of Vehicles from High-resolution Aerial Photography,
PhEngRS(75), No. 7, July 2009, pp. 871-897.
WWW Link. 0910
An object-based classification technique to extract vehicle volumes and vehicle type distributions from aerial photos sampled throughout a large metropolitan area. BibRef

Chang, W.C., Cho, C.W.,
Online Boosting for Vehicle Detection,
SMC-B(40), No. 3, June 2010, pp. 892-902.
IEEE DOI 1006
BibRef

Kembhavi, A.[Aniruddha], Harwood, D.[David], Davis, L.S.[Larry S.],
Vehicle Detection Using Partial Least Squares,
PAMI(33), No. 6, June 2011, pp. 1250-1265.
IEEE DOI 1105
See also Human Detection Using Partial Least Squares Analysis. Aerial images. Color probability maps for image statistics, histograms of oriented gradients for structure. BibRef

Cao, X.B.[Xian-Bin], Wu, C., Lan, J.[Jinhe], Yan, P.K.[Ping-Kun], Li, X.L.[Xue-Long],
Vehicle Detection and Motion Analysis in Low-Altitude Airborne Video Under Urban Environment,
CirSysVideo(21), No. 10, October 2011, pp. 1522-1533.
IEEE DOI 1110
BibRef
Earlier: A1, A3, A4, A5:
KLT Feature Based Vehicle Detection and Tracking in Airborne Videos,
ICIG11(673-678).
IEEE DOI 1109
BibRef

Cao, X.B.[Xian-Bin], Lin, R.J.[Ren-Jun], Yan, P.K.[Ping-Kun], Li, X.L.[Xue-Long],
Visual Attention Accelerated Vehicle Detection in Low-Altitude Airborne Video of Urban Environment,
CirSysVideo(22), No. 3, March 2012, pp. 366-378.
IEEE DOI 1203
BibRef
Earlier:
Accelerating Vehicle Detection in Low-Altitude Airborne Urban Video,
ICIG11(648-653).
IEEE DOI 1109
BibRef

Xia, Y.J.[Ying-Jie], Zhang, L.M.[Lu-Ming], Liu, Z.G.[Zhen-Guang], Nie, L.Q.[Li-Qiang], Li, X.L.[Xue-Long],
Weakly Supervised Multimodal Kernel for Categorizing Aerial Photographs,
IP(26), No. 8, August 2017, pp. 3748-3758.
IEEE DOI 1707
binary codes, colour photography, computer vision, cryptography, feature extraction, image matching, support vector machines, aerial photograph categorization, binary codes, computer vision, graphlet number extraction, graphlet-to-graphlet matching, hash-based graphlet, high-level semantic cue encoding, image kernel, local image patches, multiclass SVM, multimodal visual features, multiple visual features, newly developed hashing algorithm, topological structure, vehicle navigation, video surveillance, weakly supervised multimodal kernel, Binary codes, Computational modeling, Dictionaries, Image recognition, Kernel, Semantics, Visualization, Multimodal, aerial photograph, categorization, image kernel, weakly-supervised BibRef

Bai, X.[Xueru], Zhou, F.[Feng], Xing, M.D.[Meng-Dao], Bao, Z.[Zheng],
A Novel Method for Imaging of Group Targets Moving in a Formation,
GeoRS(50), No. 1, January 2012, pp. 221-231.
IEEE DOI 1201
See also Sparse Subband Imaging of Space Targets in High-Speed Motion. BibRef

Bai, X., Xing, M., Zhou, F., Lu, G., Bao, Z.,
Imaging of Micromotion Targets With Rotating Parts Based on Empirical-Mode Decomposition,
GeoRS(46), No. 11, November 2008, pp. 3514-3523.
IEEE DOI 0812
BibRef

Cheng, H.Y., Weng, C.C., Chen, Y.Y.,
Vehicle Detection in Aerial Surveillance Using Dynamic Bayesian Networks,
IP(21), No. 4, April 2012, pp. 2152-2159.
IEEE DOI 1204
BibRef

Frolind, P.O., Gustavsson, A., Lundberg, M., Ulander, L.M.H.,
Circular-Aperture VHF-Band Synthetic Aperture Radar for Detection of Vehicles in Forest Concealment,
GeoRS(50), No. 4, April 2012, pp. 1329-1339.
IEEE DOI 1204
BibRef

Jakubowicz, J.[Jérémie], Lefebvre, S.[Sidonie], Maire, F., Moulines, E.[Eric],
Detecting Aircraft With a Low-Resolution Infrared Sensor,
IP(21), No. 6, June 2012, pp. 3034-3041.
IEEE DOI 1202
BibRef

Lefebvre, S.[Sidonie], Allassonničre, S.[Stéphanie], Jakubowicz, J.[Jérémie], Lasne, T.[Thomas], Moulines, E.[Eric],
Aircraft classification with a low resolution infrared sensor,
MVA(24), No. 1, January 2013, pp. 175-186.
WWW Link. 1301
BibRef

Cao, X.B.[Xian-Bin], Lan, J.[Jinhe], Yan, P.K.[Ping-Kun], Li, X.L.[Xue-Long],
Vehicle detection and tracking in airborne videos by multi-motion layer analysis,
MVA(23), No. 5, September 2012, pp. 921-935.
WWW Link. 1208
BibRef

Cao, X.B.[Xian-Bin], Wu, C.X.[Chang-Xia], Yan, P.K.[Ping-Kun], Li, X.L.[Xue-Long],
Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos,
ICIP11(2421-2424).
IEEE DOI 1201
BibRef

Schindler, K.,
An Overview and Comparison of Smooth Labeling Methods for Land-Cover Classification,
GeoRS(50), No. 11, November 2012, pp. 4534-4545.
IEEE DOI 1210
BibRef

Tokarczyk, P., Montoya, J., Schindler, K.,
An Evaluation of Feature Learning Methods for High Resolution Image Classification,
AnnalsPRS(I-3), No. 2012, pp. 389-394.
HTML Version. 1209
Lots of small (urban) objects. BibRef

Sun, G., Xing, M., Xia, X.G., Wu, Y., Bao, Z.,
Robust Ground Moving-Target Imaging Using Deramp-Keystone Processing,
GeoRS(51), No. 2, February 2013, pp. 966-982.
IEEE DOI 1302
BibRef

Huang, P.H.[Peng-Hui], Liao, G.S.[Gui-Sheng], Yang, Z.W.[Zhi-Wei], Xia, X.G.[Xiang-Gen], Ma, J.T.[Jing-Tao], Zheng, J.B.[Ji-Bin],
Ground Maneuvering Target Imaging and High-Order Motion Parameter Estimation Based on Second-Order Keystone and Generalized Hough-HAF Transform,
GeoRS(55), No. 1, January 2017, pp. 320-335.
IEEE DOI 1701
Doppler effect BibRef

Huang, P.H.[Peng-Hui], Liao, G.S.[Gui-Sheng], Yang, Z.W.[Zhi-Wei], Xia, X.G.[Xiang-Gen], Ma, J.T.[Jing-Tao], Zhang, X.P.[Xue-Pan],
A Fast SAR Imaging Method for Ground Moving Target Using a Second-Order WVD Transform,
GeoRS(54), No. 4, April 2016, pp. 1940-1956.
IEEE DOI 1604
Computational complexity BibRef

Huang, P.H.[Peng-Hui], Liao, G.S.[Gui-Sheng], Yang, Z.W.[Zhi-Wei], Xia, X.G.[Xiang-Gen], Ma, J.T.[Jing-Tao], Zhang, X.P.[Xue-Pan],
An Approach for Refocusing of Ground Moving Target Without Target Motion Parameter Estimation,
GeoRS(55), No. 1, January 2017, pp. 336-350.
IEEE DOI 1701
Doppler radar BibRef

Butler, P.[Patrick], Ramakrishnan, N.[Naren], Nsoesie, E.O.[Elaine O.], Brownstein, J.S.[John S.],
Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak?,
Computer(47), No. 4, April 2014, pp. 94-97.
IEEE DOI 1405
Data mining BibRef

Jabbar, S.[Sana], Akbar, A.[Ali], Zafar, S.[Saima], Quddoos, M.[Muhammad], Hussain, M.[Majid],
VISTA: achieving cumulative VIsion through energy efficient Silhouette recognition of mobile Targets through collAboration of visual sensor nodes,
JIVP(2014), No. 1, 2014, pp. 32.
DOI Link 1407
BibRef

Moranduzzo, T., Melgani, F.,
Detecting Cars in UAV Images With a Catalog-Based Approach,
GeoRS(52), No. 10, October 2014, pp. 6356-6367.
IEEE DOI 1407
Catalogs BibRef

Gao, F.[Feng], Li, B.[Bo], Xu, Q.[Qizhi], Zhong, C.[Chen],
Moving Vehicle Information Extraction from Single-Pass WorldView-2 Imagery Based on ERGAS-SNS Analysis,
RS(6), No. 7, 2014, pp. 6500-6523.
DOI Link 1408
BibRef

Zhang, J.X.[Ji-Xian], Duan, M.[Minyan], Yan, Q.[Qin], Lin, X.G.[Xiang-Guo],
Automatic Vehicle Extraction from Airborne LiDAR Data Using an Object-Based Point Cloud Analysis Method,
RS(6), No. 9, 2014, pp. 8405-8423.
DOI Link 1410
BibRef

Zhang, X.P.[Xue-Pan], Liao, G.[Guisheng], Zhu, S.Q.[Sheng-Qi], Zeng, C.[Cao], Shu, Y.X.[Yu-Xiang],
Geometry-Information-Aided Efficient Radial Velocity Estimation for Moving Target Imaging and Location Based on Radon Transform,
GeoRS(53), No. 2, February 2015, pp. 1105-1117.
IEEE DOI 1411
Radon transforms BibRef

Börcs, A.[Attila], Benedek, C.[Csaba],
Extraction of Vehicle Groups in Airborne Lidar Point Clouds With Two-Level Point Processes,
GeoRS(53), No. 3, March 2015, pp. 1475-1489.
IEEE DOI 1412
BibRef
Earlier:
A Marked Point Process Model For Vehicle Detection In Aerial Lidar Point Clouds,
AnnalsPRS(I-3), No. 2012, pp. 93-98.
HTML Version. 1209
feature extraction See also Detection of soldering defects in Printed Circuit Boards with Hierarchical Marked Point Processes. BibRef

Börcs, A.[Attila], Nagy, B.[Balázs], Baticz, M.[Milán], Benedek, C.[Csaba],
A Model-Based Approach for Fast Vehicle Detection in Continuously Streamed Urban LIDAR Point Clouds,
AutoSystems14(413-425).
Springer DOI 1504
BibRef

Börcs, A.[Attila], Nagy, B.[Balázs], Benedek, C.[Csaba],
Fast 3-D Urban Object Detection on Streaming Point Clouds,
CVRoads14(628-639).
Springer DOI 1504
BibRef

Li, H.H.[Hui-Hui], Jin, X.[Xing], Yang, N.[Ning], Yang, Z.[Zhe],
The recognition of landed aircrafts based on PCNN model and affine moment invariants,
PRL(51), No. 1, 2015, pp. 23-29.
Elsevier DOI 1412
Aircraft recognition BibRef

Janney, P.[Pranam], Booth, D.[David],
Pose-invariant vehicle identification in aerial electro-optical imagery,
MVA(26), No. 5, July 2015, pp. 575-591.
WWW Link. 1506
BibRef

Dickson, C.N.[Christopher N.], Wallace, A.M.[Andrew M.], Kitchin, M.[Matthew], Connor, B.[Barry],
Long-wave infrared polarimetric cluster-based vehicle detection,
JOSA-A(32), No. 12, December 2015, pp. 2307-2315.
DOI Link 1601
Pattern recognition; Polarimetric imaging BibRef

Razakarivony, S.[Sebastien], Jurie, F.[Frederic],
Vehicle detection in aerial imagery: A small target detection benchmark,
JVCIR(34), No. 1, 2016, pp. 187-203.
Elsevier DOI 1601
Detection BibRef

Chen, Z.[Ziyi], Wang, C.[Cheng], Wen, C.[Chenglu], Teng, X.[Xiuhua], Chen, Y.[Yiping], Guan, H.[Haiyan], Luo, H.[Huan], Cao, L.[Liujuan], Li, J.,
Vehicle Detection in High-Resolution Aerial Images via Sparse Representation and Superpixels,
GeoRS(54), No. 1, January 2016, pp. 103-116.
IEEE DOI 1601
feature extraction BibRef

Chen, Z.[Ziyi], Wang, C.[Cheng], Luo, H.[Huan], Wang, H., Chen, Y.[Yiping], Wen, C.[Chenglu], Yu, Y., Cao, L.[Liujuan], Li, J.,
Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature,
ITS(17), No. 8, August 2016, pp. 2296-2309.
IEEE DOI 1608
Dictionaries BibRef

Yu, Y.T.[Yong-Tao], Guan, H.Y.[Hai-Yan], Zai, D.[Dawei], Ji, Z.[Zheng],
Rotation-and-scale-invariant airplane detection in high-resolution satellite images based on deep-Hough-forests,
PandRS(112), No. 1, 2016, pp. 50-64.
Elsevier DOI 1602
Airplane detection BibRef

Cao, Y.[Yutian], Wang, G.[Gang], Yan, D.M.[Dong-Mei], Zhao, Z.M.[Zhong-Ming],
Two Algorithms for the Detection and Tracking of Moving Vehicle Targets in Aerial Infrared Image Sequences,
RS(8), No. 1, 2016, pp. 28.
DOI Link 1602
BibRef

Razakarivony, S.[Sebastien], Jurie, F.[Frederic],
A novel target detection algorithm combining foreground and background manifold-based models,
MVA(27), No. 3, April 2016, pp. 363-375.
Springer DOI 1604
Vehicles in aerial images. BibRef

Zhang, F., Du, B.[Bo], Zhang, L.P.[Liang-Pei], Xu, M.,
Weakly Supervised Learning Based on Coupled Convolutional Neural Networks for Aircraft Detection,
GeoRS(54), No. 9, September 2016, pp. 5553-5563.
IEEE DOI 1609
feature extraction BibRef

Cao, L.J.[Liu-Juan], Luo, F.[Feng], Chen, L.[Li], Sheng, Y.[Yihan], Wang, H.B.[Hai-Bin], Wang, C.[Cheng], Ji, R.R.[Rong-Rong],
Weakly supervised vehicle detection in satellite images via multi-instance discriminative learning,
PR(64), No. 1, 2017, pp. 417-424.
Elsevier DOI 1701
Multiple instance learning BibRef

Ammour, N.[Nassim], Alhichri, H.[Haikel], Bazi, Y.[Yakoub], Benjdira, B.[Bilel], Alajlan, N.[Naif], Zuair, M.[Mansour],
Deep Learning Approach for Car Detection in UAV Imagery,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Audebert, N.[Nicolas], Saux, B.L.[Bertrand Le], Lefčvre, S.[Sébastien],
Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Li, F.[Feimo], Li, S.X.[Shu-Xiao], Zhu, C.F.[Cheng-Fei], Lan, X.S.[Xiao-Song], Chang, H.X.[Hong-Xing],
Cost-Effective Class-Imbalance Aware CNN for Vehicle Localization and Categorization in High Resolution Aerial Images,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef
And:
Class-imbalance aware CNN extension for high resolution aerial image based vehicle localization and categorization,
ICIVC17(761-765)
IEEE DOI 1708
class-imbalance, convolutional neural network, high resolution aerial image, vehicle categorization, vehicle, detection BibRef

Xu, Y., Yu, G., Wu, X., Wang, Y., Ma, Y.,
An Enhanced Viola-Jones Vehicle Detection Method From Unmanned Aerial Vehicles Imagery,
ITS(18), No. 7, July 2017, pp. 1845-1856.
IEEE DOI 1706
Detectors, Feature extraction, Object detection, Roads, Unmanned aerial vehicles, Vehicle detection, Vehicle detection, Viola-Jones, road orientation, unmanned aerial vehicle, vehicle, tracking BibRef

El Mikaty, M., Stathaki, T.,
Detection of Cars in High-Resolution Aerial Images of Complex Urban Environments,
GeoRS(55), No. 10, October 2017, pp. 5913-5924.
IEEE DOI 1710
object detection, image descriptors, urban environments, Roads, automatic target recognition BibRef


Dahmane, M., Foucher, S., Beaulieu, M., Bouroubi, Y., Benoit, M.,
The Potential of Deep Features for Small Object Class Identification in Very High Resolution Remote Sensing Imagery,
ICIAR17(569-577).
Springer DOI 1706
Cars in very high resolution Pleiades imagery. BibRef

Sommer, L.W.[Lars Wilko], Schuchert, T.[Tobias], Beyerer, J.[Jürgen],
Fast Deep Vehicle Detection in Aerial Images,
WACV17(311-319)
IEEE DOI 1609
BibRef
Earlier:
A comprehensive study on object proposals methods for vehicle detection in aerial images,
PRRS16(1-6)
IEEE DOI 1704
Computational efficiency, Detectors, Image edge detection, Image segmentation, Proposals, Vehicle detection. image classification BibRef

Kamenetsky, D., Sherrah, J.[Jamie],
Aerial Car Detection and Urban Understanding,
DICTA15(1-8)
IEEE DOI 1603
Fourier analysis See also Pedestrian Multiple Hypothesis Tracker Fusing Head and Body Detections, A. BibRef

Papachristos, C.[Christos], Tzoumanikas, D.[Dimos], Alexis, K.[Kostas], Tzes, A.[Anthony],
Autonomous Robotic Aerial Tracking, Avoidance, and Seeking of a Mobile Human Subject,
ISVC15(I: 444-454).
Springer DOI 1601
BibRef

Wu, H.[Hui], Zhang, H.[Hui], Zhang, J.F.[Jin-Fang], Xu, F.J.[Fan-Jiang],
Fast Aircraft Detection in Satellite Images Based on Convolutional Neural Networks,
ICIP15(4210-4214)
IEEE DOI 1512
BING BibRef

Arandjelovic, O.,
Automatic vehicle tracking and recognition from aerial image sequences,
AVSS15(1-6)
IEEE DOI 1511
image sequences BibRef

Teutsch, M.[Michael], Kruger, W.[Wolfgang],
Robust and fast detection of moving vehicles in aerial videos using sliding windows,
CVVT15(26-34)
IEEE DOI 1510
Cameras BibRef

Fehlmann, S., Pontecorvo, C., Booth, D.M., Janney, P., Christie, R., Redding, N.J., Royce, M., Fiebig, M.,
Fusion of Multiple Sensor Data to Recognise Moving Objects in Wide Area Motion Imagery,
DICTA14(1-8)
IEEE DOI 1502
Based on vehicle recognition. image fusion BibRef

Desai, A.[Alok], Lee, D.J.[Dah-Jye], Zhang, M.[Meng],
Using Accurate Feature Matching for Unmanned Aerial Vehicle Ground Object Tracking,
ISVC14(I: 435-444).
Springer DOI 1501
BibRef

Bhaskar, H.[Harish], Dias, J.[Jorge], Seneviratne, L.[Lakmal], Al-Mualla, M.[Mohammed],
micro-UAV Based Dynamic Target Tracking for Surveillance and Exploration,
ISVC14(I: 445-456).
Springer DOI 1501
BibRef

Climent-Pérez, P.[Pau], Lazaridis, G.[Georgios], Hummel, G.[Georg], Russ, M.[Martin], Monekosso, D.N.[Dorothy N.], Remagnino, P.[Paolo],
Telemetry-Based Search Window Correction for Airborne Tracking,
ISVC14(I: 457-466).
Springer DOI 1501
BibRef

Cruz, G.[Gonçalo], Bernardino, A.[Alexandre],
Image Saliency Applied to Infrared Images for Unmanned Maritime Monitoring,
CVS15(511-522).
Springer DOI 1507
BibRef

Marques, J.S.[Jorge S.], Bernardino, A.[Alexandre], Cruz, G.[Goncalo], Bento, M.[Maria],
An algorithm for the detection of vessels in aerial images,
AVSS14(295-300)
IEEE DOI 1411
Cameras BibRef

Teutsch, M.[Michael], Kruger, W.[Wolfgang], Beyerer, J.[Jurgen],
Evaluation of object segmentation to improve moving vehicle detection in aerial videos,
AVSS14(265-270)
IEEE DOI 1411
Feature extraction BibRef

Chen, X.Y.[Xue-Yun], Xiang, S.M.[Shi-Ming], Liu, C.L.[Cheng-Lin], Pan, C.H.[Chun-Hong],
Aircraft Detection by Deep Belief Nets,
ACPR13(54-58)
IEEE DOI 1408
aircraft BibRef

Chen, X.Y.[Xue-Yun], Xiang, S.M.[Shi-Ming], Liu, C.L.[Cheng-Lin], Pan, C.H.[Chun-Hong],
Vehicle Detection in Satellite Images by Parallel Deep Convolutional Neural Networks,
ACPR13(181-185)
IEEE DOI 1408
convolution BibRef

Matzen, K.[Kevin], Snavely, N.[Noah],
NYC3DCars: A Dataset of 3D Vehicles in Geographic Context,
ICCV13(761-768)
IEEE DOI 1403
Dataset, Vehicles. 3D models; geography; object detection; structure from motion BibRef

Leister, W., Tuermer, S., Reinartz, P., Hoffmann, K.H., Stilla, U.,
Validation of Vehicle Candidate Areas in Aerial Images Using Color Co-Occurrence Histograms,
SSG13(139-144).
DOI Link 1402
BibRef

Krüger, T., Nowak, S., Matthaei, J., Bestmann, U.,
Single-Layer Laser Scanner for Detection and Localization of Unmanned Swarm Members,
UAV-g13(229-234).
HTML Version. 1311
BibRef

Máttyus, G.,
Near Real-Time Automatic Marine Vessel Detection on Optical Satellite Images,
Hannover13(233-237).
DOI Link 1308
BibRef

Chan, M.T., Weed, C.,
Vessel detection in video with dynamic maritime background,
AIPR12(1-5)
IEEE DOI 1307
geometry BibRef

Frias-Velazquez, A.[Andres], Ortiz, C.[Carlos], Pizurica, A.[Aleksandra], Philips, W.[Wilfried], Cerda, G.[Gustavo],
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
ATR -- Vehicles, Aerial Images, Ship Detection .


Last update:Nov 18, 2017 at 20:56:18