Transformer With Feature Interaction and Fusion for Remote Sensing Image Change Detection-Reference-Cited by-同舟云学术

Transformer With Feature Interaction and Fusion for Remote Sensing Image Change Detection

Published:2024 Issue: Volume:17 Page:15407-15419
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:

Guo Dongen¹^ORCID,Zou Tao¹^ORCID,Xia Ying¹^ORCID,Feng Jiangfan²^ORCID

Affiliation:

1. Key Lab of Tourism Multisource Data Perception and Decision, Ministry of Culture and Tourism, School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

2. Chongqing Engineering Research Center for Spatial Big Data Intelligent Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

National Natural Science Foundation of China

Science and Technology Research Project of Henan Province

Key Research Projects of Henan Higher Education Institutions

Doctoral Research Start-up Fund Project at Nanyang Institute of Technology

Interdisciplinary Sciences Project of Nanyang Institute of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10648868.pdf?arnumber=10648868

Reference65 articles.

1. Remote Sensing Image Change Detection Transformer Network Based on Dual-Feature Mixed Attention

2. Integrating remote sensing and geospatial big data for urban land use mapping: A review

3. Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities

4. Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery

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