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 …

Feature learning and change feature classification based on deep learning for ternary change detection in SAR images

M Gong, H Yang, P Zhang - ISPRS Journal of Photogrammetry and …, 2017 - Elsevier
Ternary change detection aims to detect changes and group the changes into positive
change and negative change. It is of great significance in the joint interpretation of spatial …

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 …

[PDF][PDF] 基于局部超分辨重建的高精度SAR 图像水域分割方法

李宁, 牛世林 - Journal of Radars, 2020 - researchgate.net
合成孔径雷达(SAR) 图像水域分割在水资源调查, 灾害监测等领域具有重要意义.
针对中低分辨率星载SAR 图像水域提取精度不足的难题, 该文融合基于轻量级残差卷积神经 …

Automatic semantic segmentation with DeepLab dilated learning network for change detection in remote sensing images

N Venugopal - Neural Processing Letters, 2020 - Springer
Automatic change detection is an interesting research area in remote sensing (RS)
technology aims to detect the changes in synthetic aperture radar (SAR) and multi-temporal …

A novel detector based on convolution neural networks for multiscale SAR ship detection in complex background

W Dai, Y Mao, R Yuan, Y Liu, X Pu, C Li - Sensors, 2020 - mdpi.com
Convolution neural network (CNN)-based detectors have shown great performance on ship
detections of synthetic aperture radar (SAR) images. However, the performance of current …

Water–land segmentation via structure-aware CNN–transformer network on large-scale SAR data

Y Zhou, K Yang, F Ma, W Hu, F Zhang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Water–land segmentation has important applications in many aspects, such as
environmental protection and flood prevention. Synthetic aperture radar (SAR) is one of the …

[PDF][PDF] 一种超分辨SAR 图像水域分割算法及其应用

陈嘉琪, 刘祥梅, 李宁, 张燕 - 电子与信息学报, 2021 - jeit.ac.cn
一种超分辨SAR图像水域分割算法及其应用A High-precision Water Segmentation Algorithm for
SAR Image and its Appli Page 1 一种超分辨SAR图像水域分割算法及其应用 陈嘉琪*① 刘祥梅 …

DEM-SPH simulation for the formation and breaching of a landslide-dammed lake triggered by the 2022 Lushan earthquake

Q Zhu, N Jiang, Q Chen, Y Hu, J Zhou - Landslides, 2023 - Springer
When lakes are dammed by earthquake-induced landslides, they can pose a significant
threat to communities and infrastructure both downstream and upstream. To improve means …

Characterizing ancient channel of the yellow river from spaceborne sar: Case study of chinese gaofen-3 satellite

N Li, Z Guo, J Zhao, L Wu, Z Guo - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
The lower reaches of the ancient Yellow River (AYR) migrated very frequently, like a loong
swinging its tail on the land of China. As the origin of Chinese civilization, AYR provided …