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Survey, Object Detection. Component- and feature-based approaches enable object detection in
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Signals with very low signal-to-noise ratio.
chaos, feature extraction, learning (artificial intelligence),
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Remote-sensing Region-based CNN.
convolutional neural nets, feature extraction,
geophysical image processing, image classification,
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1908
convolutional neural nets, feature extraction,
learning (artificial intelligence), object detection,
rotation and scaling robust enhancement (RSRE)
See also TGRS-HRRSD-Dataset: High Resolution Remote Sensing Detection (HRRSD).
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1912
Remote sensing, Object detection, Optical sensors, Optical imaging,
Feature extraction, Detectors, Visualization,
optical remote sensing images
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Geng, X.R.[Xiu-Rui],
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The Analytical Solution of the Clever Eye (CE) Method,
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2012
Object detection, Optimization, Mathematical model, Detectors,
Covariance matrices, Minimization, Correlation, Clever eye (CE),
target detection
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Sun, X.[Xian],
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SRAF-Net: Shape Robust Anchor-Free Network for Garbage Dumps in
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2106
Convolution, Shape, Feature extraction, Remote sensing,
Object detection, Detectors, Sun, Anchor free,
remote sensing imagery
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Wang, Y.[Yu],
Jia, Y.N.[Yan-Nan],
Gu, L.[Lize],
EFM-Net: Feature Extraction and Filtration with Mask Improvement
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Rotation-Invariant and Relation-Aware Cross-Domain Adaptation Object
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2112
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Han, W.[Wei],
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Improving Training Instance Quality in Aerial Image Object Detection
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2112
Training, Detectors, Object detection, Remote sensing, Proposals,
Geology, Feature extraction, High-quality example mining,
remote sensing
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Zhang, L.Y.[Lu-Yang],
Wang, H.T.[Hai-Tao],
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2112
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A Novel Nonlocal-Aware Pyramid and Multiscale Multitask Refinement
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GeoRS(60), 2022, pp. 1-20.
IEEE DOI
2112
Feature extraction, Detectors, Task analysis, Head, Visualization,
Remote sensing, Neural networks, Attention, multiscale, multitask,
remote sensing (RS) images
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Ye, Y.X.[Yuan-Xin],
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An Adaptive Attention Fusion Mechanism Convolutional Network for
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2202
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Attention-Based Multi-Level Feature Fusion for Object Detection in
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RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Zhang, K.[Kaihua],
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Multi-Stage Feature Enhancement Pyramid Network for Detecting Objects
in Optical Remote Sensing Images,
RS(14), No. 3, 2022, pp. xx-yy.
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2202
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Luo, J.[Junkun],
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Surround-Net:
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RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
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Liu, Z.M.[Zhi-Ming],
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Sun, C.[Chao],
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RelationRS: Relationship Representation Network for Object Detection
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RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Wu, B.L.[Bing-Long],
Shen, Y.[Yuan],
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Sun, L.[Luyi],
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High Quality Object Detection for Multiresolution Remote Sensing
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RS(14), No. 9, 2022, pp. xx-yy.
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2205
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Kawauchi, H.[Hiroki],
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SHAP-Based Interpretable Object Detection Method for Satellite
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RS(14), No. 9, 2022, pp. xx-yy.
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2205
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Fang, Q.Y.[Qing-Yun],
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Elsevier DOI
2206
Cross-modality, Attention, Feature fusion, Object detection,
Multispectral remote sensing imagery
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PandRS(191), 2022, pp. 235-249.
Elsevier DOI
2208
Partial objects at edge of tiles.
Multi-class geospatial object detection,
Convolutional neural network, Truncated NMS, Manhattan-Distance IOU
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Tian, S.[Shu],
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Fu, Y.[Yuzhe],
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A Novel Hybrid Attention-Driven Multistream Hierarchical Graph
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DOI Link
2210
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Li, Z.[Zheng],
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2206
Survey, Object Detection.
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2208
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DOI Link
2212
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Gui, S.X.[Sheng-Xi],
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Remote Sensing Object Detection in the Deep Learning Era: A Review,
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DOI Link
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Liu, Y.[Yanan],
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DSG-PL: ROI Extraction Based on Dual Saliency Guided Progressive
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ICIP23(2840-2844)
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2312
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Zhang, C.[Cong],
Liu, T.S.[Tian-Shan],
Ju, Y.K.[Ya-Kun],
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Pyramid Masked Image Modeling for Transformer-Based Aerial Object
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ICIP23(1675-1679)
IEEE DOI
2312
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Jin, R.[Ren],
Jia, Z.K.[Zi-Kai],
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Efficient Aerial Image Object Detection with Imaging Condition
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ICIP23(620-624)
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2312
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Kim, J.H.[Jong-Ha],
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Messmer, M.[Martin],
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Gaining Scale Invariance in UAV Bird's Eye View Object Detection by
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ICPR22(3588-3594)
IEEE DOI
2212
Codes, Graphics processing units, Object detection, Detectors,
Multitasking, Real-time systems
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Deng, J.[Jieren],
Zhou, X.[Xin],
Tian, H.[Hao],
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ICIP23(2740-2744)
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Zhu, T.Y.[Tian-Yu],
Ferenczi, B.[Bryce],
Purkait, P.[Pulak],
Drummond, T.[Tom],
Rezatofighi, H.[Hamid],
van den Hengel, A.[Anton],
Knowledge Combination to Learn Rotated Detection without Rotated
Annotation,
CVPR23(15518-15527)
IEEE DOI
2309
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Li, J.J.[Juan-Juan],
Hou, Z.Q.[Zhi-Qiang],
Sun, Y.[Ying],
Guo, H.[Hao],
Ma, S.[Sugang],
Object Detection Algorithm Based on Global Information Fusion,
ICIVC22(276-281)
IEEE DOI
2301
Location awareness, Aggregates, Object detection,
Feature extraction, Real-time systems, Data mining, FCOS, feature enhancement
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Han, J.M.[Jia-Ming],
Ding, J.[Jian],
Xue, N.[Nan],
Xia, G.S.[Gui-Song],
ReDet: A Rotation-equivariant Detector for Aerial Object Detection,
CVPR21(2785-2794)
IEEE DOI
2111
Codes, Computational modeling, Detectors,
Object detection, Predictive models, Feature extraction
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Martinson, E.[Eric],
Furlong, B.[Bridget],
Gillies, A.[Andy],
Training Rare Object Detection in Satellite Imagery with Synthetic
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LLID21(2763-2770)
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2109
Training, Solid modeling, Analytical models,
Satellites, Generative adversarial networks
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Xu, N.[Nuo],
Huo, C.L.[Chun-Lei],
Guo, J.C.[Jia-Cheng],
Liu, Y.W.[Yi-Wei],
Wang, J.[Jian],
Pan, C.H.[Chun-Hong],
Adaptive Remote Sensing Image Attribute Learning for Active Object
Detection,
ICPR21(111-118)
IEEE DOI
2105
Image quality, Image processing, Brightness, Imaging,
Object detection, Reinforcement learning, Detectors
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Barnes, D.K.[Dustin K.],
Davis, S.R.[Sara R.],
Hand, E.M.[Emily M.],
SAT-CNN: A Small Neural Network for Object Recognition from Satellite
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Ye, X.H.[Xin-Hai],
Xiong, F.C.[Feng-Chao],
Lu, J.F.[Jian-Feng],
Zhao, H.F.[Hai-Feng],
Zhou, J.[Jun],
M2-Net: A Multi-scale Multi-level Feature Enhanced Network for Object
Detection in Optical Remote Sensing Images,
DICTA20(1-8)
IEEE DOI
2201
Semantics, Object detection, Detectors, Feature extraction,
Optical imaging, Task analysis, Remote sensing,
multi-scale analysis
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Gao, D.S.[Da-Shan],
Vasconcelos, N.M.[Nuno M.],
Integrated Learning of Saliency, Complex Features, and Object Detectors
from Cluttered Scenes,
CVPR05(II: 282-287).
IEEE DOI
0507
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And:
An Experimental Comparison of Three Guiding Principles for the
Detection Salient Image Locations: Stability, Complexity, and
Discrimination,
AttenPerf05(III: 84-84).
IEEE DOI
0507
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Yao, J.[Jian],
Zhang, Z.F.M.[Zhong-Fei Mark],
Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised
Learning,
ICCV05(II: 1012-1017).
IEEE DOI
0510
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And:
Semi-Supervised Learning Based Object Detection in Aerial Imagery,
CVPR05(I: 1011-1016).
IEEE DOI
0507
Use context for detection.
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Bose, B.[Biswajit],
Grimson, W.E.L.,
Improving object classification in far-field video,
CVPR04(II: 181-188).
IEEE DOI
0408
Low resolution. Scene specific context.
BibRef
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Camouflaged Object Detection, Camouflage .