Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms

Methods for improving supervised and unsupervised classification of remotely sensed data were developed in this study. Supervised classification of remotely sensed data requires systematic collection of training samples for classes of interest. Image visual interpretation is important in training...

詳細記述

書誌詳細

第一著者:	Teoh, Chin Chuang
フォーマット:	学位論文
言語:	英語 英語
出版事項:	2005
主題:	Data compression - Remote sensing - Case studies
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/6062/1/FK_2005_49.pdf