DocumentCode
3582154
Title
Understanding discretization and land features relationship based on rough sets
Author
Kumar, Akshat ; Panchal, V.K.
Author_Institution
LNM Inst. of Inf. Technol., New Delhi, India
fYear
2014
Firstpage
182
Lastpage
186
Abstract
Discretization of continuous features is both a requirement and a way of performance enhancement for many machine learning algorithms. In this paper, we review previous work on continuous feature discretization, apply different discretization algorithms for image classification of a satellite remote sensing image and conduct an empirical evaluation of several methods.
Keywords
geophysical image processing; image classification; learning (artificial intelligence); remote sensing; rough set theory; continuous feature discretization; land feature relationship; machine learning algorithms; rough sets; satellite remote sensing image classification; Approximation methods; Classification algorithms; Entropy; Remote sensing; Rough sets; Training; discretization; image classification; kappa coefficient; remote sensing; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communication and Systems, 2014 International Conference on
Print_ISBN
978-1-4799-3671-7
Type
conf
DOI
10.1109/ICCCS.2014.7068190
Filename
7068190
Link To Document