Image Classification- Based on Fuzzy C means Clustering Algorithm | Sub pixel classification using Remote sensed data

Jayanth J.

ISBN 10: 3659953180 / ISBN 13: 9783659953187

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

Image Classification- Based on Fuzzy C means Clustering Algorithm | Sub pixel classification using Remote sensed data | Jayanth J. | Taschenbuch | 156 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659953187 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 102871981

Bibliographic Details

• Title: Image Classification- Based on Fuzzy C means Clustering Algorithm | Sub pixel classification using Remote sensed data
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659953180
• ISBN 13: 9783659953187
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 250 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The analysis of Fuzzy Logic is carried out by varying the number of classes and also by changing the number of classes per pixel. Different classification methods yields different results and none of the methods is suitable for variable classes and variable pixels. Depending upon the information needed about the classification, suitable classes and suitable classes per pixel should be selected. The selection of a particular method is dependent on number of classes and number of classes per pixel. The suitability of a particular scheme depends to some extent on the nature of the image to be classified. When results of all the classified methods considered were compared, application of Fuzzy Logic only makes the classification more complex. It is because of the type of the data used for classification. Since the data used is a 23.5m resolution data, which is considered as low resolution data, almost all the methods produce reasonably high accuracy value. It is hard to come to a conclusion by visually examining the classified images. Hence an accuracy assessment is carried out for numerically/quantitatively finding the classification method that results in highest accuracy value.

About the Author

Jayanth J has received M.Tech from MCE, Hassan in 2010,Pursuing Ph.D, VTU. He is working as Associate Professor in the Dept.of ECE,GSSSIETW, Mysuru.He is in teaching for 6 years. His subjects of interest include Image Processing, Fuzzy Logic, Remote Sensing & Swarm Intelligence