A Spatial-Spectral-Temporal Attention Method for Hyperspectral Image Change Detection
Author:
Affiliation:
1. Zhejiang University,Department of Electrical Engineering,Hangzhou,China,310027
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883386.pdf?arnumber=9883386
Reference12 articles.
1. Change Detection Using Change Vector Analysis from Landsat TM Images in Wuhan
2. Hyperspectral Anomaly Change Detection Based on Autoencoder
3. Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
4. Multivariate Alteration Detection (MAD) and MAF Postprocessing in Multispectral, Bitemporal Image Data: New Approaches to Change Detection Studies
5. CBAM: Convolutional Block Attention Module;woo;Proceedings of the European Conference on Computer Vision (ECCV),0
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3. BiG-FSLF: A Cross Heterogeneous Domain Few-Shot Learning Framework Based on Bidirectional Generation for Hyperspectral Image Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2023
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