MDSTA: masked diffusion spatio-temporal autoencoder for multimodal remote sensing image classification

Deep learning methods have significantly advanced multimodal remote sensing data classification recently. However, challenges in data acquisition frequently lead to missing modalities, which substantially hinder the performance of these models. Diffusion models have shown tremendous potential in gen...

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Bibliographic Details

Published in:	International journal of remote sensing Vol. 46; no. 11; pp. 4215 - 4240
Main Authors:	Yue, Zongqin, Xu, Jindong, Li, Ziyi, Xing, Haihua, Cheng, Xiang
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 03.06.2025
Subjects:	classification diffusion model missing modality Multimodal remote sensing
ISSN:	0143-1161, 1366-5901
Online Access:	Get full text
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