DGMA<sup>2</sup>-Net: A Difference-Guided Multiscale Aggregation Attention Network for Remote Sensing Change Detection-Reference-Cited by-同舟云学术

DGMA²-Net: A Difference-Guided Multiscale Aggregation Attention Network for Remote Sensing Change Detection

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ying Zilu¹^ORCID,Tan Zijun¹,Zhai Yikui¹^ORCID,Jia Xudong²^ORCID,Li Wenba¹,Zeng Junying¹^ORCID,Genovese Angelo³^ORCID,Piuri Vincenzo³^ORCID,Scotti Fabio³^ORCID

Affiliation:

1. Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China

2. College of Engineering and Computer Science, California State University at Northridge, Los Angeles, CA, USA

3. Department of Computer Science and the Dipartimento di Informatica, Università degli Studi di Milano, Milan, Italy

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Guangdong Science and Technology Planning

Guangdong Higher Education Innovation and Strengthening School

Wuyi University Hong Kong and Macao Joint Research and Development Fund

Guangdong Jiangmen Science and Technology Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10504297.pdf?arnumber=10504297

Reference58 articles.

1. Toward a Generalizable Image Representation for Large-Scale Change Detection: Application to Generic Damage Analysis

2. Building Damage Detection in Vhr Satellite Images Via Multi-Scale Scene Change Detection

3. Polarimetric SAR change detection in multiple frequency bands for environmental monitoring in Arctic regions

4. Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery

5. Intra-Urban Change Analysis Using Sentinel-1 and Nighttime Light Data

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