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A binary division algorithm for clustering remotely sensed multispectral images

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3 Author(s)
Hanaizumi, H. ; Coll. of Eng., Hosei Univ., Koganei, Japan ; Chino, S. ; Fujimura, S.

In binary division clustering (BDC), image data are repeatedly divided into two groups until the group consists of a single cluster. Canonical correlation analysis is used for data compression and for noise reduction. BDC achieved higher accuracy and higher efficiency than conventional ISODATA. BDC was successfully applied to change detection of remotely sensed multitemporal multispectral images

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Instrumentation and Measurement, IEEE Transactions on  (Volume:44 ,  Issue: 3 )