A review of the autoencoder and its variants: A comparative perspective from target recognition in synthetic-aperture radar images
G Dong, G Liao, H Liu, G Kuang - IEEE Geoscience and …, 2018 - ieeexplore.ieee.org
In recent years, unsupervised feature learning based on a neural network architecture has
become a hot new topic for research [1]-[4]. The revival of interest in such deep networks can …
become a hot new topic for research [1]-[4]. The revival of interest in such deep networks can …
[HTML][HTML] 卫星雷达遥感在滑坡灾害探测和监测中的应用: 挑战与对策
李振洪， 宋闯， 余琛， 肖儒雅， 陈立福， 罗慧… - 武汉大学学报· 信息 …, 2019 - ch.whu.edu.cn
将卫星雷达遥感应用于滑坡灾害的探测与监测, 不仅可以从空间尺度上大范围捕捉到滑坡信号,
而且可以从时间尺度上以较长周期追踪滑坡的运动状态. 但是, 卫星雷达遥感本身的局限性和 …
而且可以从时间尺度上以较长周期追踪滑坡的运动状态. 但是, 卫星雷达遥感本身的局限性和 …
SAR ATR by a combination of convolutional neural network and support vector machines
SA Wagner - IEEE transactions on Aerospace and Electronic …, 2016 - ieeexplore.ieee.org
A combination of a convolutional neural network, which belongs to the deep learning
research field, and support vector machines is presented as an efficient automatic target …
research field, and support vector machines is presented as an efficient automatic target …
Perspective on explainable SAR target recognition
GUO Weiwei, Z Zenghui, YU Wenxian, SUN Xiaohua - 雷达学报, 2020 - radars.ac.cn
Abstract SAR Automatic Target Recognition (ATR) is a key task in microwave remote
sensing. Recently, Deep Neural Networks (DNNs) have shown promising results in SAR …
sensing. Recently, Deep Neural Networks (DNNs) have shown promising results in SAR …
[HTML][HTML] SAR 图像目标识别的可解释性问题探讨
郭炜炜， 张增辉， 郁文贤， 孙效华 - 雷达学报, 2020 - radars.ac.cn
SAR图像目标识别的可解释性问题探讨 作者中心 专家审稿 责编办公 编辑办公 首页 优先发表 当期
目录 过刊浏览 论文排行 1.引用排行 2.摘要浏览排行 3.HTML点击排行 4.全文下载排行 数据 …
目录 过刊浏览 论文排行 1.引用排行 2.摘要浏览排行 3.HTML点击排行 4.全文下载排行 数据 …
SAR ATR of ground vehicles based on LM-BN-CNN
In recent studies, synthetic aperture radar (SAR) automatic target recognition (ATR)
algorithms based on convolutional neural network (CNN) have achieved high recognition …
algorithms based on convolutional neural network (CNN) have achieved high recognition …
Transductive prototypical attention reasoning network for few-shot SAR target recognition
H Ren, S Liu, X Yu, L Zou, Y Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep-learning-based synthetic aperture radar (SAR) automatic target recognition (ATR)
algorithms have achieved outstanding performance under the condition of hundreds or …
algorithms have achieved outstanding performance under the condition of hundreds or …
Explainability of deep SAR ATR through feature analysis
C Belloni, A Balleri, N Aouf… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Understanding the decision-making process of deep learning networks is a key challenge
that has rarely been investigated for synthetic aperture radar (SAR) images. In this article, a …
that has rarely been investigated for synthetic aperture radar (SAR) images. In this article, a …
Fusion of target and shadow regions for improved SAR ATR
JH Choi, MJ Lee, NH Jeong, G Lee… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) systems, which operate under a slant-viewing geometry,
inevitably entail shadow regions in the resulting radar image. Such shadow profiles contain …
inevitably entail shadow regions in the resulting radar image. Such shadow profiles contain …
Swarm UAV SAR for 3-D imaging: System analysis and sensing matrix design
H Ren, Z Sun, J Yang, Y Xiao, H An… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) is a low-cost and high-efficiency lightweight synthetic
aperture radar (SAR)-mounted platform that can be used for a variety of military and civilian …
aperture radar (SAR)-mounted platform that can be used for a variety of military and civilian …