期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：1
页码：124-126
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Image classification is a composite process that may be precious by many factors. The stress is placed on the summarization of major advanced classification approaches and the techniques used for improving classification accuracy. In accumulation, some important issues affecting classification performance are discussed. This literature evaluation suggests that designing a suitable image‐processing procedure is a requirement for a successful classification of a little sensed data into a thematic map. Effective use of multiple features of distantly sensed data and the selection of a suitable classification method are especially significant for improving classification accuracy. Non‐parametric classifiers such as decision tree classifier, neural network, SVM classifier and knowledge‐based classification have increasingly become important approaches for data classification. More research is needed to identify and reduce uncertainties in the image‐processing chain to improve classification accuracy.
