Water-body segmentation for SAR images: past, current, and future
Z Guo, L Wu, Y Huang, Z Guo, J Zhao, N Li - Remote Sensing, 2022 - mdpi.com
Synthetic Aperture Radar (SAR), as a microwave sensor that can sense a target all day or
night under all-weather conditions, is of great significance for detecting water resources …
night under all-weather conditions, is of great significance for detecting water resources …
Learning deep ship detector in SAR images from scratch
Z Deng, H Sun, S Zhou, J Zhao - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recently, deep learning-based methods have brought new ideas for ship detection in
synthetic aperture radar (SAR) images. However, several challenges still exist: 1) deep …
synthetic aperture radar (SAR) images. However, several challenges still exist: 1) deep …
Automated extraction of antarctic glacier and ice shelf fronts from sentinel-1 imagery using deep learning
Sea level rise contribution from the Antarctic ice sheet is influenced by changes in glacier
and ice shelf front position. Still, little is known about seasonal glacier and ice shelf front …
and ice shelf front position. Still, little is known about seasonal glacier and ice shelf front …
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 …
[HTML][HTML] 遥感影像的海岸线自动提取方法研究进展
吴一全， 刘忠林 - 2019 - html.rhhz.net
摘要海岸带是人类活动集中且容易受到破坏的区域之一, 快速而准确地实现海岸线的提取对海岸
带管理及海岸带演化研究具有十分重要的意义. 遥感技术因其大范围, 高效率 …
带管理及海岸带演化研究具有十分重要的意义. 遥感技术因其大范围, 高效率 …
Water extraction in SAR images using features analysis and dual-threshold graph cut model
L Bao, X Lv, J Yao - Remote Sensing, 2021 - mdpi.com
Timely identifying and detecting water bodies from SAR images are significant for flood
monitoring and water resources management. In recent decades, deep learning has been …
monitoring and water resources management. In recent decades, deep learning has been …
Analysis of polarimetric decomposition, backscattering coefficient, and sample properties for identification and layer thickness estimation of silica sand distribution …
Silica is one of the mineral needs of industry, especially in base materials for the primary or
auxiliary raw materials. Silica sand on Rupat Island was identified on the northern coastline …
auxiliary raw materials. Silica sand on Rupat Island was identified on the northern coastline …
Water body detection in high-resolution SAR images with cascaded fully-convolutional network and variable focal loss
The water body detection in high-resolution synthetic aperture radar (SAR) images is a
challenging task due to the changing interference caused by multiple imaging conditions …
challenging task due to the changing interference caused by multiple imaging conditions …
On the use of multipolarization satellite SAR data for coastline extraction in harsh coastal environments: The case of Solway Firth
This study deals with coastline extraction using multipolarization spaceborne synthetic
aperture radar (SAR) imagery acquired over coastal intertidal areas. The latter are very …
aperture radar (SAR) imagery acquired over coastal intertidal areas. The latter are very …
Region-level SAR image segmentation based on edge feature and label assistance
This article proposes a novel segmentation algorithm for synthetic aperture radar (SAR)
images. The algorithm performs region-level segmentation based on edge feature and label …
images. The algorithm performs region-level segmentation based on edge feature and label …