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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Teoh, Chin Chuang
التنسيق:	أطروحة
اللغة:	الإنجليزية الإنجليزية
منشور في:	2005
الموضوعات:	Data compression - Remote sensing - Case studies
الوصول للمادة أونلاين:	http://psasir.upm.edu.my/id/eprint/6062/1/FK_2005_49.pdf

مواد مشابهة

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