Results 11 to 20 of about 11,876 (217)
An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery
Detecting underwater targets from hyperspectral imagery makes a profound impact on marine exploration. Available methods mainly tackle this problem by modifying the land-based detection algorithms with classical bathymetric models, which usually fail to ...
Jiahao Qi +5 more
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A Novel FEM Based T-S Fuzzy Particle Filtering for Bearings-Only Maneuvering Target Tracking
In this paper, we propose a novel fuzzy expectation maximization (FEM) based Takagi-Sugeno (T-S) fuzzy particle filtering (FEMTS-PF) algorithm for a passive sensor system.
Xiaoli Wang, Liangqun Li, Weixin Xie
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This paper focuses on how to obtain globally optimal multisensor data association results under the condition that the number of targets is unknown. This problem is likely to occur in scenarios where the sensors’ fields of view (FoVs) are limited.
Feng Ma +3 more
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Shape serves as an important additional feature for space target classification, which is complementary to those made available. Since different shapes lead to different projection functions, the projection property can be regarded as one kind of shape ...
Yabei Wu +3 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
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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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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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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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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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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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