An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images-Reference-Cited by-同舟云学术

An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Lu Zili¹^ORCID,Peng Yuexing¹^ORCID,Li Wei²^ORCID,Yu Junchuan³,Ge Daqing³,Han Lingyi³^ORCID,Xiang Wei⁴^ORCID

Affiliation:

1. Key Laboratory of Universal Wireless Communication, MOE, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

2. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

3. Department of Satellite Application Research, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China

4. School of Computing Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia

Funder

National Key Research and Development Program of China

High Level Talent Team Project of the New Coast of Qingdao New District

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10246979.pdf?arnumber=10246979

Reference56 articles.

1. Comparing landslide inventory maps

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3. Multiscale Attention Network Guided With Change Gradient Image for Land Cover Change Detection Using Remote Sensing Images

4. Postearthquake Landslides Mapping From Landsat-8 Data for the 2015 Nepal Earthquake Using a Pixel-Based Change Detection Method

5. A comparative analysis of pixel- and object-based detection of landslides from very high-resolution images

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