DiFormer: A Difference Transformer Network for Remote Sensing Change Detection-Reference-Cited by-同舟云学术

DiFormer: A Difference Transformer Network for Remote Sensing Change Detection

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Lin Hui¹^ORCID,Hang Renlong¹^ORCID,Wang Shanmin²^ORCID,Liu Qingshan³

Affiliation:

1. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

Funder

Natural Science Foundation of China

Major Achievement Transformation Project of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10415489.pdf?arnumber=10415489

Reference22 articles.

1. A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection

2. Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

3. Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges

4. Changer: Feature Interaction is What You Need for Change Detection

5. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

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1. WSMsFNet: Joint the Whole Supervision and Multiscale Fusion Network for Remote Sensing Image Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. AANet: An Ambiguity-Aware Network for Remote-Sensing Image Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

3. MVAFG: Multiview Fusion and Advanced Feature Guidance Change Detection Network for Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. SCD-SAM: Adapting Segment Anything Model for Semantic Change Detection in Remote Sensing Imagery;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Change-Agent: Toward Interactive Comprehensive Remote Sensing Change Interpretation and Analysis;IEEE Transactions on Geoscience and Remote Sensing;2024