CBSASNet: A Siamese Network Based on Channel Bias Split Attention for Remote Sensing Change Detection-Reference-Cited by-同舟云学术

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CBSASNet: A Siamese Network Based on Channel Bias Split Attention for Remote Sensing Change Detection

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

He Naiwei¹,Wang Liejun¹^ORCID,Zheng Panpan¹^ORCID,Zhang Cui¹^ORCID,Li Lele¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Xinjiang University, Ürümqi, China

Funder

Scientific and Technological Innovation 2030 Major Project

Xinjiang Uygur Autonomous Region Tianshan Talent Program

Postgraduate Scientific Research Innovation Project of Xinjiang Uygur Autonomous Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10538299.pdf?arnumber=10538299

Reference58 articles.

1. Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach

2. Building Change Detection From Multitemporal High-Resolution Remotely Sensed Images Based on a Morphological Building Index

3. Change Detection in (Semi-) Natural Grassland Ecosystems for Biodiversity Monitoring Using Open Data

4. Multi-Decadal Mangrove Forest Change Detection and Prediction in Honduras, Central America, with Landsat Imagery and a Markov Chain Model

5. A Novel Approach for Change Detection Analysis of Land Cover from Multispectral FCC Optical Image using Machine Learning

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