24.8 ATR Applications, Automatic Target Recognition

Spikenet Technology,
2008.
WWW Link. Vendor, Object Detection. Vendor, Object Tracking. Real-time object detection.

UCF-ARG,
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WWW Link. Dataset, Surveillance. 1211
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Earlier: UCF Aerial Action Dataset,

WWW Link. A:Aerial Camera, R: Roof top camera, G: Ground camera. 3 views of different actions. The aerial subset

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Algorithms for Detecting M-Dimensional Objects in N-Dimensional Spaces,
PAMI(3), No. 3, May 1981, pp. 245-256. BibRef 8105

Tisdale, G.E.[Glenn E.], Lindemann, H.B.[Harley B.],
Target recognition system enhanced by active signature measurements,
US_Patent4,497,065, 01/29/1985.
HTML Version. Detect, then laser pointer. BibRef 8501

Wentworth, E.W.[Edwin W.], Horn, S.B.[Stuart B.],
High probability of detection, low false alarm multisensor ATR,
US_Patent4,905,292, Feb 27, 1990
WWW Link. Fuse results of 2 sensors. BibRef 9002

Mobasseri, B.G.,
Automatic Target Scoring System Using Machine Vision,
MVA(8), No. 1, 1995, pp. 20-30.
Springer DOI BibRef 9500

Mobasseri, B.G.,
Projectile impact detection and performance evaluation using machine vision,
WACV92(248-254).
IEEE DOI 0403
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Gupta, L.[Lalit], Sortrakul, T.[Thotsapon], Charles, A.[Alain], Kisatsky, P.[Paul],
Robust Automatic Target Recognition Using a Localized Boundary Representation,
PR(28), No. 10, October 1995, pp. 1587-1598.
Elsevier DOI BibRef 9510

Bradski, G., Grossberg, S.,
Fast-Learning Viewnet Architectures for Recognizing 3-Dimensional Objects from Multiple 2-Dimensional Views,
NeurNet(8), No. 7-8, 1995, pp. 1053-1080. BibRef 9500

Casasent, D.P., Neiberg, L.M.,
Classifier and Shift-Invariant Automatic Target Recognition Neural Networks,
NeurNet(8), No. 7-8, 1995, pp. 1117-1129. BibRef 9500

Fisher, J.W., Principe, J.C.,
A Nonlinear Extension of the Mace Filter,
NeurNet(8), No. 7-8, 1995, pp. 1131-1141. BibRef 9500

Sajda, P., Spence, C.D., Hsu, S., Pearson, J.C.,
Integrating Neural Networks with Image Pyramids to Learn Target Context,
NeurNet(8), No. 7-8, 1995, pp. 1143-1152. BibRef 9500

Hecht-Nielsen, R., Zhou, Y.T.,
VARTAC: A Foveal Active Vision ATR System,
NeurNet(8), No. 7-8, 1995, pp. 1309-1321. BibRef 9500

Andreou, A.G., Meitzler, R.C., Strohbehn, K., Boahen, K.A.,
Analog VLSI Neuromorphic Image Acquisition and Preprocessing Systems,
NeurNet(8), No. 7-8, 1995, pp. 1323-1347. BibRef 9500

Andes, D.K., Witham, J.C., Miles, M.D.,
Mavis: A Special-Purpose Neural Computational System for ATR,
NeurNet(8), No. 7-8, 1995, pp. 1349-1358. BibRef 9500

Sadovnik, L., Rizkin, A., Rashkovskiy, O., Sawchuk, A.A.,
All-Optical Invariant Target Recognition Based on Intensity-to-Phase Coding,
OptEng(35), No. 2, February 1996, pp. 423-428. BibRef 9602

Liu, J., Chang, K.C.,
Feature-Based Target Recognition with a Bayesian Network,
OptEng(35), No. 3, March 1996, pp. 701-707. BibRef 9603

Wang, G.Y., Zhang, T.X., Wei, L.G., Sang, N.,
Efficient Method for Multiscale Small Target Detection from a Natural Scene,
OptEng(35), No. 3, March 1996, pp. 761-768. BibRef 9603

Tyo, J.S., Rowe, M.P., Pugh, E.N., Engheta, N.,
Target Detection in Optically Scattering Media by Polarization-Difference Imaging,
AppOpt(35), No. 11, April 10 1996, pp. 1855-1870. Polarized Light. BibRef 9604

Miller, M.I., Grenander, U., O'Sullivan, J.A., Snyder, D.L.,
Automatic Target Recognition Organized via Jump-Diffusion Algorithms,
IP(6), No. 1, January 1997, pp. 157-174.
IEEE DOI 9703
BibRef

Serra, B., Berthod, M.,
3-D Model Localization Using High-Resolution Reconstruction of Monocular Image Sequences,
IP(6), No. 1, January 1997, pp. 175-188.
IEEE DOI 9703
BibRef

Laude, V., Formont, S.,
Bayesian Target Location in Images,
OptEng(36), No. 10, October 1997, pp. 2649-2659. 9710
BibRef

Richard, S., Sims, F.,
Data Compression Issues in Automatic Target Recognition and the Measuring of Distortion,
OptEng(36), No. 10, October 1997, pp. 2671-2674. 9710
BibRef

Ulug, B., Ahalt, S.C., Mitchell, R.A.,
Efficient ATR Using Compression,
AeroSys(33), No. 4, October 1997, pp. 1199-1211. 9710
BibRef

Barkat, M., Dib, S.,
CFAR Detection for Two Correlated Targets,
SP(61), No. 3, September 1997, pp. 289-295. 9712
BibRef

Fernandez, X., Amat, J.,
Detection of Small Size Synthetic References in Scenes Acquired with a Pixelated Device,
OptEng(36), No. 11, November 1997, pp. 3073-3080. 9712
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Pasquariello, G., Satalino, G., Laforgia, V., Spilotros, F.,
Automatic Target Recognition For Naval Traffic Control Using Neural Networks,
IVC(16), No. 2, February 20 1998, pp. 67-73.
Elsevier DOI 9803
BibRef

Takacs, B., Sadovnik, L.,
3-Dimensional Target Recognition and Tracking Using Neural Networks Trained on Optimal Views,
OptEng(37), No. 3, March 1998, pp. 819-828. 9804
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Chen, Z.K.[Zi-Kuan], Karim, M.A.[Mohammad A.], Hayat, M.M.[Majeed M.],
Locating target at high speed using image decimation decomposition processing,
PR(34), No. 3, March 2001, pp. 685-694.
Elsevier DOI 0101
BibRef

Bhatnagar, R., Horvitz, R., Williams, R.,
A Hybrid System for Target Classification,
PRL(18), No. 11-13, November 1997, pp. 1399-1403. 9806
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Shao, Y., Mayhew, J.E.W.,
PLINC Algorithm: Pattern Location in Noisy Contexts,
VISP(145), No. 2, April 1998, pp. 109-115. 9806
BibRef
Earlier:
A Stochastic Framework for Object Localisation,
BMVC96(Poster Session 1). 9608
University of Sheffield BibRef

Wang, L.C., Der, S.Z., Nasrabadi, N.M.,
Automatic Target Recognition Using a Feature Decomposition and Data Decomposition Modular Neural-Network,
IP(7), No. 8, August 1998, pp. 1113-1121.
IEEE DOI 9808
BibRef

Cartier, J.F., Nicoll, J.F., Hsu, D.H.,
Target Attractiveness Model for Field of View Search,
OptEng(37), No. 7, July 1998, pp. 1923-1936. 9808
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Jacobs, E.L., O'Brien, G.,
Investigation of Computational Vision and Principal Component Analysis with Application to Target Classification,
OptEng(37), No. 7, July 1998, pp. 2022-2028. 9808
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Bhama, S., Singh, H.,
Neural Networks for Image Modeling by 2-Dimensional Random Fields with Application to Image Compression for Target Acquisition,
OptEng(37), No. 7, July 1998, pp. 2029-2042. 9808
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Chaudhary, V., Aggarwal, J.K.,
Parallel Image Component Labeling for Target Acquisition,
OptEng(37), No. 7, July 1998, pp. 2078-2090. 9808
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Ashton, E.A., Schaum, A.P.,
Algorithms for the Detection of Sub-Pixel Targets in Multispectral Imagery,
PhEngRS(64), No. 7, July 1998, pp. 723-731. 9807
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Srinivasana, R.[Rajani], Kinsera, J.M.[Jason M.],
A Foveating Fuzzy Scoring Target Recognition System,
PR(31), No. 8, August 1998, pp. 1149-1158.
Elsevier DOI 9807
BibRef

Principe, J.C., Radisavljevic, A., Fisher, J.W., Hiett, M., Novak, L.M.,
Target Prescreening Based on a Quadratic Gamma-Discriminator,
AeroSys(34), No. 3, July 1998, pp. 706-715. 9808
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Caprari, R.S.[Robert S.],
Method of Target Detection in Images by Moment Analysis of Correlation Peaks,
AppOpt(38), No. 8, March 1999, pp. 1317-1324. BibRef 9903

Miller, P.C.[Paul C.], Caprari, R.S.[Robert S.],
Demonstration of Improved Automatic Target-Recognition Performance by Moment Analysis of Correlation Peaks,
AppOpt(38), No. 8, March 1999, pp. 1325-1331. BibRef 9903

Sjoeberg, H.[Henrik], Goudail, F.[Francois], Refregier, P.[Philippe],
Optimal algorithms for target location in nonhomogeneous binary images,
JOSA-A(15), No. 12, December 1998, pp. 2976-2985. BibRef 9812

Waldemark, K.[Karina], Lindblad, T.[Thomas], Beanovi, V.[Vlatko], Guillen, J.L.L.[Jose L.L.], Klingner, P.L.[Phillip L.],
Patterns from the sky,
PRL(21), No. 3, March 2000, pp. 227-237. 0003
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Waldemark, J.[Joakim], Millberg, M.[Mikael], Lindblad, T.[Thomas], Waldemark, K.[Karina],
Image analysis for airborne reconnaissance and missile applications,
PRL(21), No. 3, March 2000, pp. 239-251. 0003
BibRef

Bhanu, B.[Bir], Lin, Y.Q.[Ying-Qiang], Jones, III, G.[Grinnell], Peng, J.[Jing],
Adaptive target recognition,
MVA(11), No. 6, 2000, pp. 289-299.
Springer DOI 0005
BibRef
Earlier: CVBVS99(71).
IEEE DOI BibRef

Webb, A.R.[Andrew R.],
Gamma mixture models for target recognition,
PR(33), No. 12, December 2000, pp. 2045-2054.
Elsevier DOI 0008
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Mueller, M.[Marina], Segl, K.[Karl], Kaufmann, H.[Hermann],
Edge- and region-based segmentation technique for the extraction of large, man-made objects in high-resolution satellite imagery,
PR(37), No. 8, August 2004, pp. 1619-1628.
Elsevier DOI 0407
Segmentation. Use shape. For fields. BibRef

Singh, S.[Sameer], Singh, M.[Maneesha],
Explosives detection systems (EDS) for aviation security,
SP(83), No. 1, January 2003, pp. 31-55.
HTML Version. 0211
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Turhan-Sayan, G.[Gönül],
Natural resonance-based feature extraction with reduced aspect sensitivity for electromagnetic target classification,
PR(36), No. 7, July 2003, pp. 1449-1466.
Elsevier DOI 0304
BibRef

Chan, A.L., Der, S.Z., Nasrabadi, N.M.,
A joint compression-discrimination neural transformation applied to target detection,
SMC-B(35), No. 4, August 2005, pp. 670-681.
IEEE DOI 0508
BibRef

Sadgal, M.[Mohammed], El Fazziki, A.[Aziz], Ouahman, A.A.[Abdellah Ait],
Aerial image processing and object recognition,
VC(21), No. 1-2, February 2005, pp. 118-123.
Springer DOI 0502
BibRef

Dasgupta, P.,
A Multiagent Swarming System for Distributed Automatic Target Recognition Using Unmanned Aerial Vehicles,
SMC-A(38), No. 3, May 2008, pp. 549-563.
IEEE DOI 0804
BibRef

Renard, N., Bourennane, S.,
Improvement of Target Detection Methods by Multiway Filtering,
GeoRS(46), No. 8, August 2008, pp. 2407-2417.
IEEE DOI 0808
BibRef

Renard, N., Bourennane, S., Blanc-Talon, J.,
Improvement of Classification Using a Joint Spectral Dimensionality Reduction and Lower Rank Spatial Approximation for Hyperspectral Images,
ACIVS07(132-143).
Springer DOI 0708
BibRef
And:
Robust Target Detection by Spatial/Spectral Restoration Based on Tensor Modelling,
ICIP07(III: 481-484).
IEEE DOI 0709
BibRef
Earlier:
Multiway Filtering Applied on Hyperspectral Images,
ACIVS06(127-137).
Springer DOI 0609
Target detection in hyperspectral imagery. BibRef

Bourennane, S., Fossati, C., Cailly, A.,
Improvement of Target-Detection Algorithms Based on Adaptive Three-Dimensional Filtering,
GeoRS(49), No. 4, April 2011, pp. 1383-1395.
IEEE DOI 1104
BibRef

Xu, C.F.[Chun-Fan], Duan, H.B.[Hai-Bin],
Artificial bee colony (ABC) optimized edge potential function (EPF) approach to target recognition for low-altitude aircraft,
PRL(31), No. 13, 1 October 2010, pp. 1759-1772.
Elsevier DOI 1003
Artificial bee colony (ABC); Edge potential function (EPF); Target recognition; Shape matching; Genetic algorithm (GA) BibRef

Yu, F.[Frances], Duan, H.B.[Hai-Bin],
Meta-heuristic intelligence based image processing,
PRL(31), No. 13, 1 October 2010, pp. 1749.
Elsevier DOI 1003
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Huck, A., Guillaume, M.,
Asymptotically CFAR-Unsupervised Target Detection and Discrimination in Hyperspectral Images With Anomalous-Component Pursuit,
GeoRS(48), No. 11, November 2010, pp. 3980-3991.
IEEE DOI 1011
BibRef

Romano, J.M., Rosario, D.S., McCarthy, J.,
Day/Night Polarimetric Anomaly Detection Using SPICE Imagery,
GeoRS(50), No. 12, December 2012, pp. 5014-5023.
IEEE DOI 1212
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Borel, C., Rosario, D.S., Romano, J.M.,
Analysis of diurnal, long-wave hyperspectral measurements of natural background and manmade targets under different weather conditions,
AIPR14(1-5)
IEEE DOI 1504
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AIPR14(1-10)
IEEE DOI 1504
Fourier transform spectroscopy. hyperspectral imaging BibRef

Romano, J.M.[Joao M.], Rosario, D.S.[Dalton S.],
Range invariant anomaly detection for LWIR polarimetric imagery,
AIPR14(1-6)
IEEE DOI 1504
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Multidimensional image processing for remote sensing anomaly detection,
IPTA10(471-476).
IEEE DOI 1007
covariance matrices BibRef

Du, B.[Bo], Zhang, L.P.[Liang-Pei],
Target detection based on a dynamic subspace,
PR(47), No. 1, 2014, pp. 344-358.
Elsevier DOI 1310
Target detection using background. Not motion, hypersprectral imaging. BibRef

Liu, W.J.[Wei-Jian], Xie, W.C.[Wen-Chong], Wang, Y.L.[Yong-Liang],
Rao and Wald Tests for Distributed Targets Detection With Unknown Signal Steering,
SPLetters(20), No. 11, 2013, pp. 1086-1089.
IEEE DOI 1310
Gaussian noise BibRef

Savage, N.,
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Spectrum(51), No. 10, October 2014, pp. 19-20.
IEEE DOI 1411
News item. Review. BibRef

Mishne, G., Talmon, R., Cohen, I.,
Graph-Based Supervised Automatic Target Detection,
GeoRS(53), No. 5, May 2015, pp. 2738-2754.
IEEE DOI 1502
geophysical image processing. Data driven target modeling. Detect from training set BibRef

Shen, L.X.[Lai-Xin], Jiang, C.J.[Chang-Jun], Liu, G.J.[Guan-Jun],
Satellite Objects Extraction and Classification Based on Similarity Measure,
SMCS(46), No. 8, August 2016, pp. 1148-1154.
IEEE DOI 1608
Gray codes BibRef

Royo, P.[Pablo], Pastor, E.[Enric], Macias, M.[Miquel], Cuadrado, R.[Raul], Barrado, C.[Cristina], Vargas, A.[Arturo],
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Bitar, A.W.[Ahmad W.], Cheong, L.F.[Loong-Fah], Ovarlez, J.P.[Jean-Philippe],
Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery,
GeoRS(57), No. 8, August 2019, pp. 5239-5251.
IEEE DOI 1908
Automatically separating targets of interests from the background in hyperspectral imagery. hyperspectral imaging, matrix decomposition, object detection, sparse matrices, low-rank matrix decomposition, target separation BibRef

Bernabé, S.[Sergio], García, C.[Carlos], Igual, F.D.[Francisco D.], Botella, G.[Guillermo], Prieto-Matias, M.[Manuel], Plaza, A.[Antonio],
Portability Study of an OpenCL Algorithm for Automatic Target Detection in Hyperspectral Images,
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IEEE DOI 1911
Code, Target Detection. Hyperspectral imaging, Object detection, Performance evaluation, Graphics processing units, portability BibRef

Tang, P., Wang, Y., Liu, W., Du, Q., Wu, C., Chen, W.,
A Tunable Detector for Distributed Target Detection in the Situation of Signal Mismatch,
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IEEE DOI 2002
Tunable detector, signal mismatch, distributed target, multichannel signal detection BibRef

Guruacharya, S., Chalise, B.K., Himed, B.,
Energy Distribution of Multiple Target Signal With Application to Target Counting,
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IEEE DOI 2004
Signal to noise ratio, Probability density function, Maximum likelihood estimation, Spaceborne radar, Radio frequency, counting BibRef

Yang, X., Nan, X., Song, B.,
D2N4: A Discriminative Deep Nearest Neighbor Neural Network for Few-Shot Space Target Recognition,
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IEEE DOI 2005
Target recognition, Feature extraction, Measurement, Task analysis, Training, Neural networks, Semantics, Discriminative feature, transfer learning BibRef

Zhang, G.G.[Gai-Gai], Zhao, S.Z.[Shi-Zhi], Li, W.[Wei], Du, Q.[Qian], Ran, Q.[Qiong], Tao, R.[Ran],
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Jha, S.S.[Sudhanshu Shekhar], Nidamanuri, R.R.[Rama Rao],
Gudalur Spectral Target Detection (GST-D): A New Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data,
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Dataset, Targets. Target detection, or sparsely distributed materials. BibRef

Yang, X.[Xi], Wu, T.[Tan], Wang, N.N.[Nan-Nan], Huang, Y.[Yan], Song, B.[Bin], Gao, X.B.[Xin-Bo],
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Elsevier DOI 2008
Space target recognition, Hybrid convolutional neural network with partial semantic information, Components segment BibRef

Liu, Y., Liu, H., Wang, L., Bi, G.,
Target Localization in High-Coherence Multipath Environment Based on Low-Rank Decomposition and Sparse Representation,
GeoRS(58), No. 9, September 2020, pp. 6197-6209.
IEEE DOI 2008
Earth, Direction-of-arrival estimation, Signal processing algorithms, Estimation, Geometry, Interference, sparse representation (SR) BibRef

Xu, D.Q.[Dan-Qing], Wu, Y.Q.[Yi-Quan],
MRFF-YOLO: A Multi-Receptive Fields Fusion Network for Remote Sensing Target Detection,
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Cheng, B.[Bei], Li, Z.Z.[Zheng-Zhou], Xu, B.T.[Bi-Tong], Yao, X.[Xu], Ding, Z.Q.[Zhi-Quan], Qin, T.Q.[Tian-Qi],
Structured Object-Level Relational Reasoning CNN-Based Target Detection Algorithm in a Remote Sensing Image,
RS(13), No. 2, 2021, pp. xx-yy.
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Xu, D.Q.[Dan-Qing], Wu, Y.Q.[Yi-Quan],
FE-YOLO: A Feature Enhancement Network for Remote Sensing Target Detection,
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Qing, Y.H.[Yu-Hao], Liu, W.Y.[Wen-Yi], Feng, L.Y.[Liu-Yan], Gao, W.J.[Wan-Jia],
Improved YOLO Network for Free-Angle Remote Sensing Target Detection,
RS(13), No. 11, 2021, pp. xx-yy.
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Shi, P.F.[Peng-Fei], Jiang, Q.G.[Qi-Gang], Shi, C.[Chao], Xi, J.[Jing], Tao, G.F.[Guo-Fang], Zhang, S.[Sen], Zhang, Z.C.[Zhen-Chao], Liu, B.[Bin], Gao, X.[Xin], Wu, Q.[Qian],
Oil Well Detection via Large-Scale and High-Resolution Remote Sensing Images Based on Improved YOLO v4,
RS(13), No. 16, 2021, pp. xx-yy.
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Wolf, S.[Stefan], Sommer, L.[Lars], Schumann, A.[Arne],
FastAER Det: Fast Aerial Embedded Real-Time Detection,
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Detection of objects in aerial imagery. BibRef

Kleebauer, M.[Maximilian], Horst, D.[Daniel], Reudenbach, C.[Christoph],
Semi-Automatic Generation of Training Samples for Detecting Renewable Energy Plants in High-Resolution Aerial Images,
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Zhang, H.Y.[Hong-Yun], Liu, J.[Jin], Liu, J.[Jie],
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Luo, X.D.[Xu-Dong], Wu, Y.[Yiquan], Zhao, L.Y.[Lang-Yue],
YOLOD: A Target Detection Method for UAV Aerial Imagery,
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Luo, X.D.[Xu-Dong], Wu, Y.[Yiquan], Wang, F.Y.[Fei-Yue],
Target Detection Method of UAV Aerial Imagery Based on Improved YOLOv5,
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Kim, A.R.[A Ran], Kim, H.S.[Ha Seon], Kang, C.H.[Chang Ho], Kim, S.Y.[Sun Young],
The Design of the 1D CNN-GRU Network Based on the RCS for Classification of Multiclass Missiles,
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Dynamic Radar Cross Section. Gated Recurrent Unit. BibRef

Wu, Z.Y.[Zhen-Yu], Yan, H.B.[Hai-Bin],
Adaptive dynamic networks for object detection in aerial images,
PRL(166), 2023, pp. 8-15.
Elsevier DOI 2302
Object detection, Coarse-to-fine, Adaptive detector, Aerial images BibRef

Li, Z.Y.[Zhe-Yong], Li, J.H.[Jing-Hua], Zhang, P.[Pei], Zheng, L.H.[Li-Hui], Shen, Y.L.[Yi-Long], Li, Q.[Qi], Li, X.[Xin], Li, T.[Tong],
A Transfer-Based Framework for Underwater Target Detection from Hyperspectral Imagery,
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Yan, Y.J.[Yong-Ji], Wang, H.Y.[Hong-Yuan], Song, B.[Boyi], Chen, Z.D.[Zhao-Dong], Fan, R.W.[Rong-Wei], Chen, D.Y.[De-Ying], Dong, Z.W.[Zhi-Wei],
Airborne Streak Tube Imaging LiDAR Processing System: A Single Echo Fast Target Extraction Implementation,
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Wei, X.C.[Xin-Chi], Zhang, Y.[Yan], Zheng, Y.H.[Yu-Hui],
BSFCDet: Bidirectional Spatial-Semantic Fusion Network Coupled with Channel Attention for Object Detection in Satellite Images,
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Yang, G.Y.[Guo-Ye], Li, X.L.[Xiang-Li], Xiao, Z.K.[Zi-Kai], Mu, T.J.[Tai-Jiang], Martin, R.R.[Ralph R.], Hu, S.M.[Shi-Min],
Sampling Equivariant Self-Attention Networks for Object Detection in Aerial Images,
IP(32), 2023, pp. 6413-6425.
IEEE DOI 2312
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Huang, S.Q.[Shu-Qin], Ren, S.[Shasha], Wu, W.[Wei], Liu, Q.[Qiong],
Discriminative features enhancement for low-altitude UAV object detection,
PR(147), 2024, pp. 110041.
Elsevier DOI 2312
Object detection, Feature enhancement, Small scale object, Loss function, Low-altitude-UAV vision BibRef

Su, Y.Q.[Yue-Qi], Chen, X.[Xin], Cang, C.[Chen], Li, F.H.[Feng-Hong], Rao, P.[Peng],
A Space Target Detection Method Based on Spatial-Temporal Local Registration in Complicated Backgrounds,
RS(16), No. 4, 2024, pp. 669.
DOI Link 2402
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Liu, C.[Chun], Zhang, S.X.[Si-Xuan], Hu, M.J.[Meng-Jie], Song, Q.[Qing],
Object Detection in Remote Sensing Images Based on Adaptive Multi-Scale Feature Fusion Method,
RS(16), No. 5, 2024, pp. 907.
DOI Link 2403
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Zeng, B.[Bohan], Gao, S.[Shan], Xu, Y.L.[Yue-Lei], Zhang, Z.X.[Zhao-Xiang], Li, F.[Fan], Wang, C.H.[Cheng-Hang],
Detection of Military Targets on Ground and Sea by UAVs with Low-Altitude Oblique Perspective,
RS(16), No. 7, 2024, pp. 1288.
DOI Link 2404
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Yin, N.Z.[Neng-Zhong], Liu, C.X.[Cheng-Xu], Tian, R.[Ruhao], Qian, X.M.[Xue-Ming],
SDPDet: Learning Scale-Separated Dynamic Proposals for End-to-End Drone-View Detection,
MultMed(26), 2024, pp. 7812-7822.
IEEE DOI 2405
Detection from drone images, large variation in scale. Proposals, Detectors, Object detection, Feature extraction, Computational efficiency, Costs, Transformers, Drone-view image, object detection BibRef

Xu, Y.[Yong], Zhu, Y.F.[Yong-Feng], Song, Z.Y.[Zhi-Yong],
A New Extended Target Detection Method Based on the Maximum Eigenvalue of the Hermitian Matrix,
RS(16), No. 9, 2024, pp. 1488.
DOI Link 2405
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Recent Advances for Aerial Object Detection: A Survey,
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Cai, Q.H.[Qi-Hai], Zhong, S.P.[Shang-Ping], Chen, K.Z.[Kai-Zhi],
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Training, Image recognition, Target recognition, Computational modeling, Object detection, Data models, Rivers, the cross-stitch unit BibRef

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Training, Visualization, Protocols, Target recognition, Object detection, Predictive models BibRef

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Image sensors, Radar tracking, Radar polarimetry, Sensors, Task analysis BibRef

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Radar tracking, Optical imaging, Radar polarimetry, Optical sensors, Task analysis BibRef

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Entropy, Feature extraction, Blades, Support vector machines, Radar polarimetry, Spectrogram BibRef

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Le Saux, B.[Bertrand],
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Beach, G., Lomont, C., Cohen, C.J.,
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Beach, G., Cohen, C.J., Moody, G., Henry, M.,
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
ATR -- Survey, Review, Evaluation, General Discussions .