A Multiscale Cascaded Cross-Attention Hierarchical Network for Change Detection on Bitemporal Remote Sensing Images-Reference-Cited by-同舟云学术

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A Multiscale Cascaded Cross-Attention Hierarchical Network for Change Detection on Bitemporal Remote Sensing Images

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:

Zhang Xiaofeng¹^ORCID,Wang Liejun¹^ORCID,Cheng Shuli¹^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 Excellence Project

Postgraduate Scientific Research Innovation Project of Xinjiang Uygur Autonomous Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10419062.pdf?arnumber=10419062

Reference57 articles.

1. Fully Convolutional Siamese Networks for Change Detection

2. Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas

3. Urban development change detection based on Multi-Temporal Satellite Images as a fast tracking approach—a case study of Ahwaz County, southwestern Iran

4. Remote Sensing Image Change Detection With Transformers

5. TransUNetCD: A Hybrid Transformer Network for Change Detection in Optical Remote-Sensing Images

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Position-Temporal Awareness Transformer for Remote Sensing Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Exploring the Cross-Temporal Interaction: Feature Exchange and Enhancement for Remote Sensing Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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