Dual-Stream Masked Autoencoder-Based Method for Hyperspectral and SAR Image Classification

Land-cover classification from multi-source remote sensing imagery requires the effective integration of complementary spatial and spectral information across heterogeneous modalities, which is crucial for accurately capturing complex landscape features that cannot be fully represented by a single m...

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Hlavní autoři:	Jian Wang, Yuze Wen, Xun Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Hyperspectral synthetic aperture radar multi-source remote sensing classification autoencoder
On-line přístup:	https://ieeexplore.ieee.org/document/11343828/
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