Cramer’s V Test Discretization Based Spatial Decision Tree Learning for Land Cover Classification
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 12
Abstract
Given learning samples from a raster data set for spatial data mining, spatial decision tree learning models is used to estimate the decision tree classifier that minimizes classification errors as well as salt-and-pepper noise. The problem has important societal applications such as land cover classification for natural resource management. However, the problem is challenging due to the fact that learning samples show spatial autocorrelation in class labels, instead of being independently identically distributed. Related work relies on local tests (i.e., testing feature information of a location) and cannot adequately model the spatial autocorrelation effect, resulting in salt-and-pepper noise. In similarity, we proposed a Cramer’s V Test Discretization for feature selection in the land covers in which the images with noise can be reduced with morphological filter and extract the more feature descriptor for land cover classification with spatial auto correlation property for discrete features. Preliminary results showed that Cramer’s V Test reduces classification errors and salt-and-pepper noise. This paper extends our recent work by introducing a new test approach with adaptive neighbourhoods that avoids over-smoothing in wedge-shaped areas. Cramer's V-based discretization (CVD) algorithm is proposed to optimally partition the continuous features into discrete ones. Two association-based feature selection indexes has integrated for spatial autocorrelation, the CVD-based association index (CVDAI) and the class-attribution interdependence maximization (CAIM)- based association index (CAIMAI), derived from the CV-test value, are then proposed to select the optimal feature subset. Experiment results on real world data sets show that proposed technique improves classification accuracy, and that our computational refinement significantly reduces training time.
Authors and Affiliations
Miss. S. Joy Princy, Mrs. S. Subadra
Keywords
Related Articles
- EP ID EP21445
- DOI -
- Views 267
- Downloads 4
Comparative Analysis of Image Enhancement Techniques
the image enhancement techniques plays significant role in vision processing. Many techniques have been proposed so far to improve the results but none has preferred well for every kind of images. The review has shown t...
Phytochemical and Antimicrobial activity of various root extracts of Coleus forskohlii Medicinal plant
The Phytochemical and antimicrobial activities were studied using ethanol, methanol, chloroform, ethyl acetate, petroleum ether, hexane, hot water, and acetone extracts of Coleus forskohlii, Lamiaceae. Root extracts of...
Implementation of Lexical Analysis
A compiler translates and/or compiles a program written in a suitable source language into target language through a number of phases. It is used for determining token through code given in input and act as communicatio...
A Secure Routing Protocol for Mitigating Adversary Nodes in Mobile Ad-Hoc Networks
The secure routing of MANETs(mobile ad-hoc networks) is still problem in now a day. In this project, a secure routing protocol design for new approach. The existing system says that allowing only legitimate nodes to par...
Survey on Speckle Filtering Techniques of the Ultrasound Images
Today, ultrasound and magnetic resonance images are the essential tools for non-invasive medical diagnosis. One of the fundamental problems in this area is speckle noise, which is a major limitation on the image quality...