Results 31 to 40 of about 70,289 (311)
Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images
Although deep learning has received extensive attention and achieved excellent performance in various scenarios, it suffers from adversarial examples to some extent. In particular, physical attack poses a greater threat than digital attack.
Yichuang Zhang +6 more
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Model-based sensor fusion for target recognition
S.98-107The automatic recognition and interpretation of complex structures from imagery, e.g. radar or IR images, needs a structure-oriented analysis method.
Jurkiewicz, K., Jäger, K., Bers, K.H.
core +1 more source
Independent Random Recurrent Neural Networks for Infrared Spatial Point Targets Classification
Exo-atmospheric infrared (IR) point target discrimination is an important research topic of space surveillance systems. It is difficult to describe the characteristic information of the shape and micro-motion states of the targets and to discriminate ...
Dongya Wu +3 more
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Paper 804911The most challenging problem of Automatic Target Recognition (ATR) is the extraction of robust and independent target features which describe the target unambiguously.
Schimpf, H. +2 more
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Analysis and Design of M-Channel Hybrid Filter Bank With Digital Calibration
Hybrid filter bank (HFB) is widely used in frequency-interleaved analog-to-digital converters, but traditional HFB structures suffer various degrees of imperfections. This paper presents a new-structure HFB based on power complementary pair. The proposed
Xiangyu Peng +4 more
doaj +1 more source
Maritime target identification in flash-ladar imagery
Paper 83910C, 9 S.The paper presents new techniques and processing results for automatic segmentation, shape classification, generic pose estimation, and model-based identification of naval vessels in laser radar imagery.
Armbruster, Walter, Hammer, Marcus
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Range migration compensation for moving targets in chirp radars with stepped frequency
Long-time coherent pulse integration method has been extensively used in detecting weak targets, but the detection performance is affected by range migration (RM) due to high radial velocity.
Wang Sen, Bao Qinglong, Chen Zengping
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R2FA-Det: Delving into High-Quality Rotatable Boxes for Ship Detection in SAR Images
Recently, convolutional neural network (CNN)-based methods have been extensively explored for ship detection in synthetic aperture radar (SAR) images due to their powerful feature representation abilities.
Shiqi Chen, Jun Zhang, Ronghui Zhan
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Polarimetric calibration and its influence on target recognition performance
Paper 73350ZFully polarimetric radars that use polarization diversity on transmit and receive and thus provide the full scattering matrix, are subject to effects like cross-talk and channel imbalance. These distortions have to be eliminated by means of a
Schimpf, H.
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Radar Target Localization with Multipath Exploitation in Dense Clutter Environments
The performance of classic radar geometry based on the line-of-sight (LOS) signal transmitted from radar to the target in the free space is affected by multipath echoes in urban areas, where non-line-of-sight (NLOS) signals reflected by obstacles are ...
Rui Ding +3 more
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