GateFormer: Gate Attention UNet With Transformer for Change Detection of Remote Sensing Images-Reference-Cited by-同舟云学术

GateFormer: Gate Attention UNet With Transformer for Change Detection of Remote Sensing Images

Published:2024 Issue: Volume:17 Page:871-883
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Li-Li¹^ORCID,You Zhi-Hui¹^ORCID,Chen Si-Bao¹^ORCID,Huang Li-Li¹^ORCID,Tang Jin¹^ORCID,Luo Bin¹^ORCID

Affiliation:

1. MOE Key Lab of ICSP, IMIS Lab of Anhui Province, Anhui Provincial Key Lab of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Lab, School of Computer Science and Technology, Anhui University, Hefei, China

Funder

NSFC Key Project of International (Regional) Cooperation and Exchanges

NSFC Key Project of Joint Fund for Enterprise Innovation and Development

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10324340.pdf?arnumber=10324340

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

5. Building Change Detection in Multitemporal Very High Resolution SAR Images

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