Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning

Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning

Optical remote sensing images, with their high spatial resolution and wide coverage, have emerged as invaluable tools for landslide analysis. However, visual interpretation and manual delimitation of landslide areas in optical remote sensing images is labor intensive and inefficient. Automatic delim...

Full description

Saved in:
Bibliographic Details
Main Authors: Zan Wang, Shengwen Qi, Yu Han, Bowen Zheng, Yu Zou, Yue Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Mask R-CNN
U-Net
landslide segmentation
transfer learning
remote sensing images
Online Access:https://ieeexplore.ieee.org/document/10787013/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10787013/

Similar Items