Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review

R Nagaraj, LS Kumar - Earth Science Informatics, 2024 - Springer
Abstract Surface Water Mapping (SWM) is essential for studying hydrological and ecological
phenomena. SWM holds significant importance in water resource management …

WaterFormer: A coupled transformer and CNN network for waterbody detection in optical remotely-sensed imagery

J Kang, H Guan, L Ma, L Wang, Z Xu, J Li - ISPRS Journal of …, 2023 - Elsevier
As one of the most significant components of the ecosystem, waterbody needs to be highly
monitored at different spatial and temporal scales. Nevertheless, waterbody variations in …

A spectral–spatial context-boosted network for semantic segmentation of remote sensing images

X Li, X Yong, T Li, Y Tong, H Gao, X Wang, Z Xu… - Remote Sensing, 2024 - mdpi.com
Semantic segmentation of remote sensing images (RSIs) is pivotal for numerous
applications in urban planning, agricultural monitoring, and environmental conservation …

A Method of Water Body Extraction Based on Multi-Scale Feature and Global Context Information

R Miao, T Ren, K Zhou, Y Zhang, J Song… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Water body extraction is an essential mission in the field of semantic segmentation of remote
sensing images. It plays a significant role in natural disaster prevention, water resources …

Editorial for Special Issue:“Monitoring Terrestrial Water Resource Using Multiple Satellite Sensors”

N Xu, Y Ma, S Li, D Tan - Remote Sensing, 2024 - mdpi.com
In the past few decades, with the advent of climate change, population growth, agricultural
irrigation, and industrial development, there have been increasing demands for water …

[HTML][HTML] SCR-Net: A Dual-Channel Water Body Extraction Model Based on Multi-Spectral Remote Sensing Imagery—A Case Study of Daihai Lake, China

Z Weng, Q Li, Z Zheng, L Wang - Sensors, 2025 - mdpi.com
Monitoring changes in lake area using remote sensing imagery and artificial intelligence
algorithms is essential for assessing regional ecological balance. However, most current …

Water-Body Type Classification in Dual PolSAR Imagery Using a Two-Step Deep Learning Method

Q Yuan, J Lu, L Wu, Y Huang, Z Guo… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Water-body type problems classification plays a vital role in ecological conservation, water
resource management, and urban planning. Accurate classification can aid decision-makers …

SPFDNet: Water Extraction Method Based on Spatial Partition and Feature Decoupling

X Cheng, K Han, J Xu, G Li, X Xiao, W Zhao… - Remote …, 2024 - search.proquest.com
Extracting water information from remote-sensing images is of great research significance
for applications such as water resource protection and flood monitoring. Current water …

GEA-MSNet: A Novel Model for Segmenting Remote Sensing Images of Lakes Based on the Global Efficient Attention Module and Multi-Scale Feature Extraction

Q Li, Z Weng, Z Zheng, L Wang - Applied Sciences, 2024 - mdpi.com
The decrease in lake area has garnered significant attention within the global ecological
community, prompting extensive research in remote sensing and computer vision to …

An Enhanced Dual-Stream Network Using Multi-Source Remote Sensing Imagery for Water Body Segmentation

X Zhang, M Geng, X Yang, C Li - Applied Sciences, 2023 - mdpi.com
Accurate surface water mapping is crucial for rationalizing water resource utilization and
maintaining ecosystem sustainability. However, the diverse shapes and scales of water …