A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution remote sensing data-Reference-Cited by-同舟云学术

A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution remote sensing data

Published:2024-01-04 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Lu Wei¹²,Hu Yunfeng¹²,Shao Wei¹²,Wang Hao¹²,Zhang Zuopei¹²,Wang Mingyan³

Affiliation:

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China

2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, People’s Republic of China

3. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, People’s Republic of China

Funder

Network Security and Information Program of the Chinese Academy of Sciences

National Natural Science Foundation of China

Key Project of Innovation LREIS

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2300731

Reference66 articles.

1. A High-Precision Water Body Extraction Method Based on Improved Lightweight U-Net