A BINARY DIVISION ALGORITHM FOR CLUSTERING REMOTELY-SENSED MULTISPECTRAL IMAGES

Authors
HANAIZUMI H CHINO S FUJIMURA S
Citation
H. Hanaizumi et al., A BINARY DIVISION ALGORITHM FOR CLUSTERING REMOTELY-SENSED MULTISPECTRAL IMAGES, IEEE transactions on instrumentation and measurement, 44(3), 1995, pp. 759-763
Citations number
4
Categorie Soggetti
Engineering, Eletrical & Electronic","Instument & Instrumentation
Journal title
IEEE transactions on instrumentation and measurement → ACNP
ISSN journal
00189456
Volume
44
Issue
3
Year of publication
1995
Pages
759 - 763
Database
ISI
SICI code
0018-9456(1995)44:3<759:ABDAFC>2.0.ZU;2-8
Abstract
In binary division clustering (BDC), image data are repeatedly divided into two groups until the group consists of a single cluster, Canonic al correlation analysis-is used for data compression and for noise red uction, BDC achieved higher accuracy and higher efficiency than conven tional ISODATA. BDC was successfully applied to change detection of re motely sensed multitemporal multispectral images.