Map Floodwater Radar Imagery using Machine Learning Algorithms
Flooding is a widespread and costly natural disaster around the world. Accurately assessing the extent of flooding in near real-time is crucial for governments and humanitarian organizations. This information strengthens early warning systems, evaluates risks, and guides effective relief efforts. T...
Saved in:
Main Authors: | Thanh-Nghi Doan, Duc-Ngoc Le-Thi |
---|---|
Format: | Article |
Language: | English |
Published: |
IIUM Press, International Islamic University Malaysia
2025-01-01
|
Series: | International Islamic University Malaysia Engineering Journal |
Subjects: | |
Online Access: | https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3157 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Annual change in the distribution and landscape health of mangrove ecosystems in China from 2016 to 2023 with Sentinel imagery
by: Yuchao Sun, et al.
Published: (2025-01-01) -
Flood change detection model based on an improved U-net network and multi-head attention mechanism
by: Fajing Wang, et al.
Published: (2025-01-01) -
WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection
by: Yu Duan, et al.
Published: (2025-01-01) -
Dynamic Analysis of <i>Spartina alterniflora</i> in Yellow River Delta Based on U-Net Model and Zhuhai-1 Satellite
by: Huiying Li, et al.
Published: (2025-01-01) -
Combining OpenStreetMap with Satellite Imagery to Enhance Cross-View Geo-Localization
by: Yuekun Hu, et al.
Published: (2024-12-01)