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More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

September 24, 2020

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du and Bing Zhang

IEEE Transactions on Geoscience and Remote Sensing
year : 2020
DOI: 10.1109/TGRS.2020.3016820

codes : https://github.com/danfenghong/IEEE_TGRS_MDL-RS

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#	File Type	File Size	Download
1	.pdf	11.32 MB	2020_TGRS_Multimodal

An Offset Graph U-Net for Hyperspectral Image Classification
Multimodal Fusion Transformer for Remote Sensing Image Classification
Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity
UCSL: Towards Unsupervised Common Subspace Learning for Cross-Modal Image Classification
UIU-Net: U-Net in U-Net for Infrared Small Object Detection
A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification

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More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

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