Synthetic Aperture Radar image analysis based on deep learning: A review of a decade of research

A Passah, SN Sur, A Abraham, D Kandar - Engineering Applications of …, 2023 - Elsevier
Artificial intelligence research in the area of computer vision teaches machines to
comprehend and interpret visual data. Machines can properly recognize and classify items …

[HTML][HTML] Harbor Detection in Polarimetric SAR Images Based on Context Features and Reflection Symmetry

C Liu, J Gao, S Liu, C Li, Y Cheng, Y Luo, J Yang - Remote Sensing, 2024 - mdpi.com
The detection of harbors presents difficulties related to their diverse sizes, varying
morphology and scattering, and complex backgrounds. To avoid the extraction of unstable …

A cascaded harbor detection method for SAR image based on corner and coastline features

Y Shang, Y Huang, D Liao, R Wang… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
In the field of remote sensing, harbor detection in SAR images has an important application
prospect. However, the complex coastline of SAR images increases the difficulty of harbor …

Multistatic Sar Topology Design Method Based on Wavenumber Spectrum Range Extension

C Mi, Y Huang, X Cai, F Xu, D Mao… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
Multistatic Synthetic Aperture Radar (Mu-SAR) can obtain rich target information through
multi-platform collaboration, and topology configuration is one of the most important factors …

A Multi-View SAR ATR Optimal Observation Path Planning Method

X Yu, J Pei, Y Sun, W Huo, Y Huang… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
Multi-view SAR images contain richer target information than single-view, which is beneficial
to synthetic aperture radar automatic target recognition (SAR ATR). It is a huge challenge to …