Spatially and Semantically Enhanced Siamese Network for Semantic Change Detection in High-Resolution Remote Sensing Images

Spatially and Semantically Enhanced Siamese Network for Semantic Change Detection in High-Resolution Remote Sensing Images

Given a pair of bitemporal very high resolution (VHR) remote sensing images, the semantic change detection task aims to locate land surface changes and identify their semantic classes. The existing algorithms use independent branches to locate and identify separately without considering the associat...

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Bibliographic Details
Main Authors: Manqi Zhao, Zifei Zhao, Shuai Gong, Yunfei Liu, Jian Yang, Xiong Xiong, Shengyang Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Change aware (CA)
change detection
remote sensing image
siamese network
spatial and semantic aggregation
Online Access:https://ieeexplore.ieee.org/document/9736642/

Internet

https://ieeexplore.ieee.org/document/9736642/

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