CLASS-BASED AFFINITY PROPAGATION FOR HYPERSPECTRAL IMAGE DIMENSIONALITY REDUCTION AND IMPROVEMENT OF MAXIMUM LIKELIHOOD CLASSIFICATION ACCURACY
نویسندگان
چکیده
منابع مشابه
Hyperspectral image classification based on volumetric texture and dimensionality reduction
A novel approach using volumetric texture and reduced-spectral features is presented for hyperspectral image classification. Using this approach, the volumetric textural features were extracted by volumetric gray-level co-occurrence matrices (VGLCM). The spectral features were extracted by minimum estimated abundance covariance (MEAC) and linear prediction (LP)-based band selection, and a semi-...
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ژورنال
عنوان ژورنال: Boletim de Ciências Geodésicas
سال: 2019
ISSN: 1982-2170,1413-4853
DOI: 10.1590/s1982-21702019000100004