A comprehensive survey of machine learning applied to radar signal processing
P Lang, X Fu, M Martorella, J Dong, R Qin… - arXiv preprint arXiv …, 2020 - arxiv.org
Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …
time capability when operating on increasingly complex electromagnetic environments …
Fully convolutional neural network for rapid flood segmentation in synthetic aperture radar imagery
Rapid response to natural hazards, such as floods, is essential to mitigate loss of life and the
reduction of suffering. For emergency response teams, access to timely and accurate data is …
reduction of suffering. For emergency response teams, access to timely and accurate data is …
[HTML][HTML] 雷达影像地表形变干涉测量的机遇, 挑战与展望
李振洪， 朱武， 余琛， 张勤， 张成龙， 刘振江， 张雪松… - 2022 - xb.chinasmp.com
随着合成孔径雷达(SAR) 卫星的不断发射, 合成孔径雷达干涉测量技术(interferometric synthetic
aperture radar, InSAR) 得到前所未有的发展机遇, 同时也面临诸多挑战. 本文首先简要介绍了 …
aperture radar, InSAR) 得到前所未有的发展机遇, 同时也面临诸多挑战. 本文首先简要介绍了 …
[HTML][HTML] Towards transparent deep learning for surface water detection from SAR imagery
Water detection from SAR imagery has significant values, such as the flood monitoring and
environmental protection. Nowadays, significant progress has been achieved in water …
environmental protection. Nowadays, significant progress has been achieved in water …
Review of Segmentation Methods for Coastline Detection in SAR Images
M Ciecholewski - Archives of Computational Methods in Engineering, 2024 - Springer
Synthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing
satellites contain the necessary information that can be used to investigate various objects of …
satellites contain the necessary information that can be used to investigate various objects of …
Near-real-time flood mapping using off-the-shelf models with SAR imagery and deep learning
Timely detection of flooding is paramount for saving lives as well as evaluating levels of
damage. Floods generally occur under specific weather conditions, such as excessive …
damage. Floods generally occur under specific weather conditions, such as excessive …
Multitemporal water extraction of dongting lake and poyang lake based on an automatic water extraction and dynamic monitoring framework
Timely and accurate large-scale water body mapping and dynamic monitoring are of great
significance for water resource planning, flood control, and disaster reduction applications …
significance for water resource planning, flood control, and disaster reduction applications …
A fast aircraft detection method for SAR images based on efficient bidirectional path aggregated attention network
R Luo, L Chen, J Xing, Z Yuan, S Tan, X Cai, J Wang - Remote Sensing, 2021 - mdpi.com
In aircraft detection from synthetic aperture radar (SAR) images, there are several major
challenges: the shattered features of the aircraft, the size heterogeneity and the interference …
challenges: the shattered features of the aircraft, the size heterogeneity and the interference …
Attentional dense convolutional neural network for water body extraction from sentinel-2 images
J Parajuli, R Fernandez-Beltran… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Monitoring water bodies from remote sensing data is certainly an essential task to supervise
the actual conditions of the available water resources for environment conservation …
the actual conditions of the available water resources for environment conservation …
[HTML][HTML] Employing deep learning for automatic river bridge detection from SAR images based on adaptively effective feature fusion
Automatic river bridge detection is a typical and valuable application for SAR image
analysis. However, the background information of SAR image is complex, and there are …
analysis. However, the background information of SAR image is complex, and there are …