24.8.4.3 ATR -- Vehicles, Aerial Images, Aircraft Detection, Recognition

Chapter Contents (Back)
Aircraft Detection. Airplane Detection. ATR.
See also UAV Tracking, UAV Detection Techniques.

White, L.J., Ksienski, A.A.,
Aircraft identification using a bilinear surface representation of radar data,
PR(6), No. 1, June 1974, pp. 35-45.
Elsevier DOI 0309
BibRef

Filippidis, A.[Arthur], Jain, L.C., Martin, N.,
Fusion of Intelligent Agents for the Detection of Aircraft in SAR Images,
PAMI(22), No. 4, April 2000, pp. 378-384.
IEEE DOI 0006
Include a priori knowledge from color photos. Improved results compared to texture alone. BibRef

Kamgar-Parsi, B., Kamgar-Parsi, B., Jain, A.K., Dayhoff, J.E.,
Aircraft Detection: A Case Study in Using Human Similarity Measure,
PAMI(23), No. 12, December 2001, pp. 1404-1414.
IEEE DOI 0112
Try to learn the measures used by people. BibRef

Kamgar-Parsi, B.[Behrooz], Kamgar-Parsi, B.[Behzad], Jain, A.K.[Anil K.],
Automatic Aircraft Recognition: Toward Using Human Similarity Measure in a Recognition System,
CVPR99(I: 268-273).
IEEE DOI BibRef 9900
And:
A case Study in using Human Similarity Measure for Automated Object recognition,
ICIP99(I:555-559).
IEEE DOI 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

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], Allassonnière, 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

Yuan, B.[Bin], Chen, Z.P.[Zeng-Ping], Xu, S.Y.[Shi-You],
Micro-Doppler Analysis and Separation Based on Complex Local Mean Decomposition for Aircraft With Fast-Rotating Parts in ISAR Imaging,
GeoRS(52), No. 2, February 2014, pp. 1285-1298.
IEEE DOI 1402
Doppler radar 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

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

Li, Y.[Yang], Fu, K.[Kun], Sun, H.[Hao], Sun, X.[Xian],
An Aircraft Detection Framework Based on Reinforcement Learning and Convolutional Neural Networks in Remote Sensing Images,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Xu, Q.F.[Quan-Fu], Chen, K.M.[Ke-Ming], Zhou, G.Y.[Guang-Yao], Sun, X.[Xian],
Change Capsule Network for Optical Remote Sensing Image Change Detection,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Lang, H.Y.[Hu-Yan], Bai, Y.P.[Yun-Peng], Li, Y.[Ying], Jiang, D.M.[Dong-Mei], Zhang, Y.N.[Yan-Ning], Zhou, Q.[Quan], Wei, J.Y.[Jia-Yuan], Liu, J.N.[Juan-Ni], Zhang, Y.[Yi], Cui, T.[Tao],
A Lightweight Object Detection Framework for Remote Sensing Images,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Zhang, Y.H.[Yu-Hang], Sun, H.[Hao], Zuo, J.W.[Jia-Wei], Wang, H.Q.[Hong-Qi], Xu, G.L.[Guang-Luan], Sun, X.[Xian],
Aircraft Type Recognition in Remote Sensing Images Based on Feature Learning with Conditional Generative Adversarial Networks,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Zhao, F., Xia, L., Kylling, A., Li, R.Q., Shang, H., Xu, M.[Ming],
Detection flying aircraft from Landsat 8 OLI data,
PandRS(141), 2018, pp. 176-184.
Elsevier DOI 1806
Landsat 8, 1.38?µm, Aircraft detection BibRef

Fu, K.[Kun], Dai, W.[Wei], Zhang, Y.[Yue], Wang, Z.[Zhirui], Yan, M.L.[Meng-Long], Sun, X.[Xian],
MultiCAM: Multiple Class Activation Mapping for Aircraft Recognition in Remote Sensing Images,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Zeng, H.C.[Hong-Cheng], Chen, J.[Jie], Wang, P.B.[Peng-Bo], Yang, W.[Wei], Liu, W.[Wei],
2-D Coherent Integration Processing and Detecting of Aircrafts Using GNSS-Based Passive Radar,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Zhu, M.M.[Ming-Ming], Xu, Y.L.[Yue-Lei], Ma, S.P.[Shi-Ping], Li, S.[Shuai], Ma, H.Q.[Hong-Qiang], Han, Y.S.[Yong-Sai],
Effective Airplane Detection in Remote Sensing Images Based on Multilayer Feature Fusion and Improved Nonmaximal Suppression Algorithm,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Alganci, U.[Ugur], Soydas, M.[Mehmet], Sertel, E.[Elif],
Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Xiong, Y.S.[Yun-Sheng], Niu, X.[Xin], Dou, Y.[Yong], Qie, H.[Hang], Wang, K.[Kang],
Non-locally Enhanced Feature Fusion Network for Aircraft Recognition in Remote Sensing Images,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Amin, B.[Benish], Riaz, M.M.[Muhammad Mohsin], Ghafoor, A.[Abdul],
Automatic aircraft extraction using video matting and frame registration,
IET-IPR(14), No. 8, 19 June 2020, pp. 1628-1635.
DOI Link 2005
BibRef

Abdullah, R.S.A.R.[Raja Syamsul Azmir Raja], Musa, S.A.[Surajo Alhaji], Rashid, N.E.A.[Nur Emileen Abdul], Sali, A.[Aduwati], Salah, A.A.[Asem Ahmad], Ismail, A.[Alyani],
Passive Forward-Scattering Radar Using Digital Video Broadcasting Satellite Signal for Drone Detection,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Lai, Y.C.[Ying-Chih], Huang, Z.Y.[Zong-Ying],
Detection of a Moving UAV Based on Deep Learning-Based Distance Estimation,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Shi, F.[Fan], Qiu, F.[Fang], Li, X.[Xiao], Zhong, R.F.[Ruo-Fei], Yang, C.[Cankun], Tang, Y.W.[Yun-Wei],
Detecting and Tracking Moving Airplanes from Space Based on Normalized Frame Difference Labeling and Improved Similarity Measures,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Liang, W.[Wei], Li, J.[Jihao], Diao, W.H.[Wen-Hui], Sun, X.[Xian], Fu, K.[Kun], Wu, Y.R.[Yi-Rong],
FGATR-Net: Automatic Network Architecture Design for Fine-Grained Aircraft Type Recognition in Remote Sensing Images,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Wei, H., Zhang, Y., Wang, B., Yang, Y., Li, H., Wang, H.,
X-LineNet: Detecting Aircraft in Remote Sensing Images by a Pair of Intersecting Line Segments,
GeoRS(59), No. 2, February 2021, pp. 1645-1659.
IEEE DOI 2101
Aircraft, Detectors, Feature extraction, Proposals, Object detection, Task analysis, Atmospheric modeling, Aircraft detection, remote sensing image BibRef

Fan, R.[Runze], Xu, T.B.[Ting-Bing], Wei, Z.Z.[Zhen-Zhong],
Estimating 6D Aircraft Pose from Keypoints and Structures,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Wang, J.L.[Jie-Lan], Xiao, H.G.[Hong-Guang], Chen, L.[Lifu], Xing, J.[Jin], Pan, Z.H.[Zhou-Hao], Luo, R.[Ru], Cai, X.M.[Xing-Min],
Integrating Weighted Feature Fusion and the Spatial Attention Module with Convolutional Neural Networks for Automatic Aircraft Detection from SAR Images,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Zhao, C.[Caidan], Luo, G.[Gege], Wang, Y.[Yilin], Chen, C.Y.[Cai-Yun], Wu, Z.Q.[Zhi-Qiang],
UAV Recognition Based on Micro-Doppler Dynamic Attribute-Guided Augmentation Algorithm,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Bao, M.[Min], Urgessa, G.C.[Guyo Chala], Xing, M.D.[Meng-Dao], Han, L.[Liang], Chen, R.[Rui],
Toward More Robust and Real-Time Unmanned Aerial Vehicle Detection and Tracking via Cross-Scale Feature Aggregation Based on the Center Keypoint,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Ji, F.C.[Feng-Cheng], Ming, D.P.[Dong-Ping], Zeng, B.C.[Bei-Chen], Yu, J.W.[Jia-Wei], Qing, Y.Z.[Yuan-Zhao], Du, T.Y.[Tong-Yao], Zhang, X.Y.[Xin-Yi],
Aircraft Detection in High Spatial Resolution Remote Sensing Images Combining Multi-Angle Features Driven and Majority Voting CNN,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Luo, R.[Ru], Chen, L.[Lifu], Xing, J.[Jin], Yuan, Z.H.[Zhi-Hui], Tan, S.[Siyu], Cai, X.M.[Xing-Min], Wang, J.L.[Jie-Lan],
A Fast Aircraft Detection Method for SAR Images Based on Efficient Bidirectional Path Aggregated Attention Network,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Heiselberg, P.[Peder], Heiselberg, H.[Henning],
Aircraft Detection above Clouds by Sentinel-2 MSI Parallax,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Guo, Q.[Qian], Wang, H.P.[Hai-Peng], Xu, F.[Feng],
Scattering Enhanced Attention Pyramid Network for Aircraft Detection in SAR Images,
GeoRS(59), No. 9, September 2021, pp. 7570-7587.
IEEE DOI 2109
Aircraft, Radar polarimetry, Scattering, Feature extraction, Imaging, Atmospheric modeling, Synthetic aperture radar, synthetic aperture radar (SAR) aircraft detection BibRef

Luo, R.[Ru], Xing, J.[Jin], Chen, L.[Lifu], Pan, Z.H.[Zhou-Hao], Cai, X.M.[Xing-Min], Li, Z.Q.[Zeng-Qi], Wang, J.L.[Jie-Lan], Ford, A.[Alistair],
Glassboxing Deep Learning to Enhance Aircraft Detection from SAR Imagery,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Lu, M.M.[Ming-Ming], Li, Q.[Qi], Chen, L.[Li], Li, H.F.[Hai-Feng],
Scale-Adaptive Adversarial Patch Attack for Remote Sensing Image Aircraft Detection,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Li, M.W.[Ming-Wu], Wen, G.J.[Gong-Jian], Huang, X.H.[Xiao-Hong], Li, K.H.[Kun-Hong], Lin, S.[Sizhe],
A Lightweight Detection Model for SAR Aircraft in a Complex Environment,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Liu, S.X.Y.[Sun-Xiang-Yu], Li, G.T.[Gui-Tao], Zhan, Y.F.[Ya-Feng], Gao, P.[Peng],
MUSAK: A Multi-Scale Space Kinematic Method for Drone Detection,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Zhang, P.[Peng], Xu, H.[Hao], Tian, T.[Tian], Gao, P.[Peng], Tian, J.W.[Jin-Wen],
SFRE-Net: Scattering Feature Relation Enhancement Network for Aircraft Detection in SAR Images,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Zhao, Y.L.[Yu-Liang], Li, J.[Jian], Li, W.S.[Wei-Shi], Shan, P.[Peng], Wang, X.A.[Xiao-Ai], Li, L.J.[Lian-Jiang], Fu, Q.[Qiang],
MS-IAF: Multi-Scale Information Augmentation Framework for Aircraft Detection,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Liu, Y.[Yehui], Zhao, Y.L.[Yu-Liang], Zhang, X.Y.[Xin-Yue], Wang, X.[Xiaoai], Lian, C.[Chao], Li, J.[Jian], Shan, P.[Peng], Fu, C.Z.[Chang-Zeng], Lyu, X.Y.[Xiao-Yong], Li, L.J.[Lian-Jiang], Fu, Q.[Qiang], Li, W.J.[Wen Jung],
MobileSAM-Track: Lightweight One-Shot Tracking and Segmentation of Small Objects on Edge Devices,
RS(15), No. 24, 2023, pp. 5665.
DOI Link 2401
BibRef

Gao, Q.W.[Quan-Wei], Feng, Z.X.[Zhi-Xi], Yang, S.Y.[Shu-Yuan], Chang, Z.H.[Zhi-Hao], Wang, R.[Ruyu],
Multi-Path Interactive Network for Aircraft Identification with Optical and SAR Images,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Han, P.[Ping], Liao, D.[Dayu], Han, B.B.[Bin-Bin], Cheng, Z.[Zheng],
SEAN: A Simple and Efficient Attention Network for Aircraft Detection in SAR Images,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Zhou, Z.[Zhuang], Li, S.Y.[Sheng-Yang], Guo, W.L.[Wei-Long], Gu, Y.F.[Yan-Feng],
Few-Shot Aircraft Detection in Satellite Videos Based on Feature Scale Selection Pyramid and Proposal Contrastive Learning,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Xiao, X.Y.[Xia-Yang], Jia, H.C.[He-Cheng], Xiao, P.H.[Peng-Hao], Wang, H.P.[Hai-Peng],
Aircraft Detection in SAR Images Based on Peak Feature Fusion and Adaptive Deformable Network,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Maksymiuk, R.[Radoslaw], Abratkiewicz, K.[Karol], Samczynski, P.[Piotr], Plotka, M.[Marek],
Renyi Entropy-Based Adaptive Integration Method for 5G-Based Passive Radar Drone Detection,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
Combine passive radar with 5G phone signal to detect drones. BibRef

Li, J.Y.[Ji-Yuan], Zhao, H.J.[Hui-Jie], Gu, X.F.[Xing-Fa], Yang, L.F.[Li-Feng], Bai, B.[Bin], Jia, G.[Guorui], Li, Z.R.[Zeng-Ren],
Analysis of Space-Based Observed Infrared Characteristics of Aircraft in the Air,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Niu, R.[Ruize], Zhi, X.Y.[Xi-Yang], Jiang, S.[Shikai], Gong, J.[Jinnan], Zhang, W.[Wei], Yu, L.J.[Li-Jian],
Aircraft Target Detection in Low Signal-to-Noise Ratio Visible Remote Sensing Images,
RS(15), No. 8, 2023, pp. 1971.
DOI Link 2305
BibRef

Ma, Y.H.[Yi-Hang], Zhou, D.[Deyun], He, Y.T.[Yu-Ting], Zhao, L.J.[Liang-Jin], Cheng, P.R.[Pei-Rui], Li, H.[Hao], Chen, K.Q.[Kai-Qiang],
Aircraft-LBDet: Multi-Task Aircraft Detection with Landmark and Bounding Box Detection,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Hoffman, J.P.[Jay P.], Rahmes, T.F.[Timothy F.], Wimmers, A.J.[Anthony J.], Feltz, W.F.[Wayne F.],
The Application of a Convolutional Neural Network for the Detection of Contrails in Satellite Imagery,
RS(15), No. 11, 2023, pp. 2854.
DOI Link 2306
BibRef

Li, X.[Xiuhe], Ran, J.[Jinhe], Wen, Y.B.[Yan-Bo], Wei, S.[Shunjun], Yang, W.[Wei],
MVFRnet: A Novel High-Accuracy Network for ISAR Air-Target Recognition via Multi-View Fusion,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Jia, Z.W.[Zhi-Wei], Zheng, H.L.[Hao-Liang], Wang, R.J.[Rong-Jie], Zhou, W.G.[Wen-Guang],
FedDAD: Solving the Islanding Problem of SAR Image Aircraft Detection Data,
RS(15), No. 14, 2023, pp. 3620.
DOI Link 2307
BibRef

Yu, W.B.[Wen-Bo], Li, J.[Jiamu], Wang, Z.J.[Zi-Jian], Yu, Z.J.[Zhong-Jun],
Boosting SAR Aircraft Detection Performance with Multi-Stage Domain Adaptation Training,
RS(15), No. 18, 2023, pp. 4614.
DOI Link 2310
BibRef

Fang, W.X.[Wen-Xuan], Zhang, G.Q.[Guo-Qing], Zheng, Y.H.[Yu-Hui], Chen, Y.W.[Yu-Wen],
Multi-Task Learning for UAV Aerial Object Detection in Foggy Weather Condition,
RS(15), No. 18, 2023, pp. 4617.
DOI Link 2310
BibRef

Dai, D.[Deen], Cao, L.H.[Li-Hua], Liu, Y.F.[Yang-Fan], Wang, Y.[Yao], Wu, Z.L.[Zhao-Long],
Classification of High-Altitude Flying Objects Based on Radiation Characteristics with Attention-Convolutional Neural Network and Gated Recurrent Unit Network,
RS(15), No. 20, 2023, pp. 4985.
DOI Link 2310
BibRef

Wang, J.[Jiale], Bai, Z.[Zhe], Zhang, X.[Ximing], Qiu, Y.H.[Yue-Hong],
A Lightweight Remote Sensing Aircraft Object Detection Network Based on Improved YOLOv5n,
RS(16), No. 5, 2024, pp. 857.
DOI Link 2403
BibRef

Rahman, M.H.[Md Habibur], Sejan, M.A.S.[Mohammad Abrar Shakil], Aziz, M.A.[Md Abdul], Tabassum, R.[Rana], Baik, J.I.[Jung-In], Song, H.K.[Hyoung-Kyu],
A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions,
RS(16), No. 5, 2024, pp. 879.
DOI Link 2403
BibRef


Xia, Z.W.[Zhi-Wei], Liu, J.[Jun], Chen, X.[Xiao], Li, X.[Xin], Chen, P.[Peng],
Airplane Object Detection in Satellite Images Based on Attention Mechanism and Multi-scale Feature Fusion,
ICRVC22(142-147)
IEEE DOI 2301
Airplanes, Satellites, Correlation, Convolution, Azimuth, Object detection, satellite images, oriented bounding box, pyramid convolution BibRef

Pratt, H.[Hamish], Evans, B.[Bernard], Rowntree, T.[Thomas], Reid, I.D.[Ian D.], Wiederman, S.[Steven],
Recurrent Motion Neural Network for Low Resolution Drone Detection,
DICTA20(1-7)
IEEE DOI 2201
Image resolution, Neural networks, Object detection, Detectors, Real-time systems, Drones, UAV, Motion BibRef

Ashraf, M.W.[Muhammad Waseem], Sultani, W.[Waqas], Shah, M.[Mubarak],
Dogfight: Detecting Drones from Drones Videos,
CVPR21(7063-7072)
IEEE DOI 2111
Visualization, Shape, Convolution, Tracking, Motion segmentation, Feature extraction BibRef

Chen, B.[Bo], Liu, D.[Daqi], Chin, T.J.[Tat-Jun], Rutten, M.[Mark], Derksenv, D.[Dawa], Märtens, M.[Marcus], von Looz, M.[Moritz], Lecuyer, G.[Gurvan], Izzo, D.[Dario],
Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge,
AI4Space21(2086-2094)
IEEE DOI 2109
Geosynchronous Equatorial Orbit. From ground-based cameras. Space vehicles, Measurement, Satellites, Pollution, Kelvin, Tools BibRef

Shermeyer, J.[Jacob], Hossler, T.[Thomas], van Etten, A.[Adam], Hogan, D.[Daniel], Lewis, R.[Ryan], Kim, D.[Daeil],
RarePlanes: Synthetic Data Takes Flight,
WACV21(207-217)
IEEE DOI 2106
Satellites, Machine learning algorithms, Annotations, Training data, Machine learning, Aircraft BibRef

Zhang, Y.[Yi], Jin, G.H.[Guang-Hu], Yu, A.X.[An-Xi], Dong, Z.[Zhen],
A 3-D Imaging Method for Aerospace Targets Based on Linear Array Radar,
CVIDL20(186-190)
IEEE DOI 2102
image resolution, radar imaging, stereo image processing, synthetic aperture radar, linear array radar, target image, Back projection algorithm BibRef

Han, Z.X.[Zhong-Xing], Zhang, H.[Hui], Zhang, J.F.[Jin-Fang], Hu, X.H.[Xiao-Hui],
Fast aircraft detection based on region locating network in large-scale remote sensing images,
ICIP17(2294-2298)
IEEE DOI 1803
Aircraft, Detectors, Object detection, Proposals, Remote sensing, Training, Training data, Faster R-CNN, Region Locating Network 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

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

Petridis, S.[Stavros], Geyer, C.[Christopher], Singh, S.[Sanjiv],
Learning to Detect Aircraft at Low Resolutions,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Perrotton, X.[Xavier], Sturzel, M.[Marc], Roux, M.[Michel],
Implicit hierarchical boosting for multi-view object detection,
CVPR10(958-965).
IEEE DOI 1006
BibRef
Earlier:
Mining families of features for efficient object detection,
ICIP09(857-860).
IEEE DOI 0911
BibRef
Earlier:
Automatic Object Detection on Aerial Images Using Local Descriptors and Image Synthesis,
CVS08(xx-yy).
Springer DOI 0805
Aircraft in cluttered backgrounds. BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
ATR -- Vehicles, Aerial Images, Ship Detection .


Last update:Mar 16, 2024 at 20:36:19