Sequential spectral change vector analysis for iteratively discovering and detecting multiple changes in hyperspectral images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 8, 2015, Pages 4363-4378

  Liu, Sicong ^a   Bruzzone, Lorenzo ^a   Bovolo, Francesca ^b   Zanetti, Massimo ^a   Du, Peijun ^c  

^a UNIVERSITY OF TRENTO   (Italy)

^b FONDAZIONE BRUNO KESSLER   (Italy)

^c NANJING UNIVERSITY   (China)

Author keywords

Change detection (CD); change representation; change vector analysis (CVA); change visualization; hyperspectral images; multiple changes; multitemporal images; remote sensing

Indexed keywords

HYDRAULIC STRUCTURES; ITERATIVE METHODS; REMOTE SENSING; SIGNAL DETECTION; SPECTROSCOPY; VECTORS;

CHANGE DETECTION; CHANGE REPRESENTATION; CHANGE VECTOR ANALYSIS; HYPER-SPECTRAL IMAGES; MULTI-TEMPORAL IMAGE; MULTIPLE CHANGES;

IMAGE ANALYSIS;

DATA SET; DETECTION METHOD; IMAGING METHOD; REMOTE SENSING; SPECTRAL ANALYSIS; VECTOR; VISUALIZATION;

EID: 85027926154     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2396686     Document Type: Article

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