Deep Learning-Based Detection of Urban Forest Cover Change along with Overall Urban Changes Using Very-High-Resolution Satellite Images

Deep Learning-Based Detection of Urban Forest Cover Change along with Overall Urban Changes Using Very-High-Resolution Satellite Images

Urban forests globally face severe degradation due to human activities and natural disasters, making deforestation an urgent environmental challenge. Remote sensing technology and very-high-resolution (VHR) bitemporal satellite imagery enable change detection (CD) for monitoring forest changes. Howe...

Full description

Bibliographic Details
Main Authors: Aisha Javed, Taeheon Kim, Changhui Lee, Jaehong Oh, Youkyung Han
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
deep learning
transfer learning
forest cover change detection
very high resolution (VHR)
DeepLabv3+
deeply supervised image fusion network (DSIFN)
Online Access:https://www.mdpi.com/2072-4292/15/17/4285

Internet

https://www.mdpi.com/2072-4292/15/17/4285

Similar Items