An integrated graph cuts segmentation and piece-wise convex unmixing approach for hyperspectral imaging

Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

Volumn 2014-June, Issue , 2014, Pages

  Massoudifar, Pegah ^a   Rangarajan, Anand ^a   Zare, Alina ^b   Gader, Paul ^a  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

Author keywords

endmember extraction; graph cuts; hyperspectral image analysis; Markov random fields; piece wise convex; segmentation

Indexed keywords

BAYESIAN NETWORKS; GRAPHIC METHODS; HYPERSPECTRAL IMAGING; MARKOV PROCESSES; REMOTE SENSING; SPECTROSCOPY;

ENDMEMBER EXTRACTION; GRAPH CUT; GRAPH CUTS SEGMENTATIONS; INTEGRATED APPROACH; LINEAR MIXING MODELS; MARKOV RANDOM FIELDS; PIECE-WISE; POSSIBILISTIC CLUSTERING;

IMAGE SEGMENTATION;

EID: 85016277282     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2014.8077518     Document Type: Conference Paper

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