TY - GEN
T1 - Contextual unsupervised classification of remotely sensed imagery with mixels
AU - Kawaguchi, Shuji
AU - Nishii, Ryuei
PY - 2006/12/1
Y1 - 2006/12/1
N2 - We propose a contextual unsupervised classification method of geostatistical data based on combination of Ward clustering method and Markov random fields (MRF). Image is clustered into classes by using not only spectrum of pixels but also spatial information. For the classification of remote sensing data of low spatial resolution, the treatment of mixed pixel is importance. From the knowledge that the most of mixed pixels locate in boundaries of land-covers, we first detect edge pixels and remove them from the image. We here introduce a new measure of spatial adjacency of the classes. Spatial adjacency is used to MRF-based update of the classes. Clustering of edge pixels are processed as final step. It is shown that the proposed method gives higher accuracy than conventional clustering method does.
AB - We propose a contextual unsupervised classification method of geostatistical data based on combination of Ward clustering method and Markov random fields (MRF). Image is clustered into classes by using not only spectrum of pixels but also spatial information. For the classification of remote sensing data of low spatial resolution, the treatment of mixed pixel is importance. From the knowledge that the most of mixed pixels locate in boundaries of land-covers, we first detect edge pixels and remove them from the image. We here introduce a new measure of spatial adjacency of the classes. Spatial adjacency is used to MRF-based update of the classes. Clustering of edge pixels are processed as final step. It is shown that the proposed method gives higher accuracy than conventional clustering method does.
UR - http://www.scopus.com/inward/record.url?scp=33751424141&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33751424141&partnerID=8YFLogxK
U2 - 10.1117/12.689566
DO - 10.1117/12.689566
M3 - Conference contribution
AN - SCOPUS:33751424141
SN - 0819464600
SN - 9780819464606
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Image and Signal Processing for Remote Sensing XII
T2 - Image and Signal Processing for Remote Sensing XII
Y2 - 11 September 2006 through 14 September 2006
ER -