Attention Filtering Network Based on Branch Transformer for Change Detection in Remote Sensing Images
Author:
Affiliation:
1. School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China
2. School of Computer Science and Technology, Shandong University, Jinan, China
Funder
National Natural Science Foundation of China
Shandong Natural Science Foundation of China
Shandong Provincial Science and Technology Support Program of Youth Innovation Team in Colleges
Yantai Science and Technology Innovation Development Plan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10368065.pdf?arnumber=10368065
Reference70 articles.
1. Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges
2. Estimating urban vegetation fraction across 25 cities in pan-Pacific using Landsat time series data
3. A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges
4. Understanding an urbanizing planet: Strategic directions for remote sensing
5. Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks
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. Prior Guidance and Principal Attention Network for Remote Sensing Image Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024
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