Hybrid fusion approach for synthetic aperture radar and multispectral imagery for improvement in land use land cover classification

Journal of Applied Remote Sensing

Volumn 13, Issue 3, 2019, Pages

  Kulkarni, Samadhan C ^a   Rege, Priti P ^a   Parishwad, Omkar ^a  

^a Department of Instrumentation & Control Engineering   (India)

Author keywords

image fusion; land use land cover classification; multispectral imagery; principal component analysis; synthetic aperture radar imagery; wavelet transform

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; IMAGE FUSION; LAND USE; MAPS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SYNTHETIC APERTURE RADAR; TRACKING RADAR; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; CONVENTIONAL APPROACH; ELECTROMAGNETIC SPECTRA; LAND USE/ LAND COVERS; MULTI-SPECTRAL IMAGERY; MULTISENSOR IMAGE FUSION; SYNTHETIC APERTURE RADAR IMAGERY;

RADAR IMAGING;

EID: 85072517280     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.13.034516     Document Type: Article

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