Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images
Remote Sensing, 2022 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
doaj +1 more source
A Multiple Radar Approach for Automatic Target Recognition of Aircraft using Inverse Synthetic Aperture Radar [PDF]
, 2018 Along with the improvement of radar technologies, Automatic Target Recognition (ATR) using Synthetic Aperture Radar (SAR) and Inverse SAR (ISAR) has come to be an active research area.
Cantu, Angel +8 more
core +3 more sources
Independent Random Recurrent Neural Networks for Infrared Spatial Point Targets Classification
Applied Sciences, 2019 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
doaj +1 more source
Analysis and Design of M-Channel Hybrid Filter Bank With Digital Calibration
IEEE Access, 2018 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
Range migration compensation for moving targets in chirp radars with stepped frequency
The Journal of Engineering, 2019 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
doaj +1 more source
R2FA-Det: Delving into High-Quality Rotatable Boxes for Ship Detection in SAR Images
Remote Sensing, 2020 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
doaj +1 more source
Radar Target Localization with Multipath Exploitation in Dense Clutter Environments
Applied Sciences, 2023 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
doaj +1 more source
ARTMAP-FTR: A Neural Network For Fusion Target Recognition, With Application To Sonar Classification [PDF]
, 1998 ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include automatic mapping from satellite remote sensing data, machine tool monitoring, medical prediction ...
Carpenter, Gail A. +2 more
core +2 more sources
Remote Sensing, 2018 Focusing on the inverse synthetic aperture radar (ISAR) imaging of targets with complex motion, this paper proposes a modified version of the Fourier transform, called non-uniform rotation transform, to achieve cross-range compression.
Wenzhen Wu +4 more
doaj +1 more source
Bathymetric-Based Band Selection Method for Hyperspectral Underwater Target Detection
Remote Sensing, 2021 Band selection has imposed great impacts on hyperspectral image processing in recent years. Unfortunately, few existing methods are proposed for hyperspectral underwater target detection (HUTD).
Jiahao Qi +6 more
doaj +1 more source