Scene Changes Understanding Framework Based on Graph Convolutional Networks and Swin Transformer Blocks for Monitoring LCLU Using High-Resolution Remote Sensing Images

Scene Changes Understanding Framework Based on Graph Convolutional Networks and Swin Transformer Blocks for Monitoring LCLU Using High-Resolution Remote Sensing Images

High-resolution remote sensing images with rich land surface structure can provide data support for accurately understanding more detailed change information of land cover and land use (LCLU) at different times. In this study, we present a novel scene change understanding framework for remote sensin...

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Bibliographic Details
Main Authors: Sihan Yang, Fei Song, Gwanggil Jeon, Rui Sun
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
high-resolution remote sensing images
LCLU
scene change understanding
label semantic relation
change detection
transformer
Online Access:https://www.mdpi.com/2072-4292/14/15/3709

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