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Volumn , Issue , 2010, Pages 294-299

Combination of region-based and pixel-based hyperspectral image classification using erosion technique and MRF model

Author keywords

Classification; Erosion; Hyperspectral images; Markov random field (MRF); Segmentation

Indexed keywords

BAYESIAN FRAMEWORKS; CLASSIFICATION METHODS; CONTEXTUAL INFORMATION; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGE CLASSIFICATION; MARKOV RANDOM FIELD; MARKOV RANDOM FIELD MODELS; MAXIMUM-LIKELIHOOD CLASSIFICATION; PIXEL-BASED METHODS; REGION-BASED; REMOTE SENSING APPLICATIONS; SEGMENTED IMAGES; SPECTRAL-SPATIAL CLASSIFICATION;

EID: 77954969570     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRANIANCEE.2010.5507059     Document Type: Conference Paper
Times cited : (7)

References (13)
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    • [Online]. Available: (original files) and ftp://ftp.ecn.purdue.edu/biehl/ PC-MultiSpec/ThyFiles.zip (ground truth)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.