CROSS-DOMAIN CLASSIFICATION OF MULTISOURCE REMOTE SENSING DATA USING FRACTIONAL FUSION AND SPATIAL-SPECTRAL DOMAIN ADAPTATION

Cross-Domain Classification of Multisource Remote Sensing Data Using Fractional Fusion and Spatial-Spectral Domain Adaptation

Limitation of labeled samples has always been a challenge for hyperspectral image (HSI) classification.In real remote sensing applications, we encounter a situation where an HSI scene is not labeled at all.To Patent look tendon boots solve this problem, cross-domain learning methods are developed by utilizing another HSI scene with similar land cov

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