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 …
Feature learning and change feature classification based on deep learning for ternary change detection in SAR images
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 …
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 …
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 …
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 …
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 …
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
Water–land segmentation has important applications in many aspects, such as
environmental protection and flood prevention. Synthetic aperture radar (SAR) is one of the …
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 …
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 …
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 …
swinging its tail on the land of China. As the origin of Chinese civilization, AYR provided …