This paper is published in Volume-5, Issue-3, 2019
Area
Computer Engineering
Author
Nandhini
Org/Univ
Velammal College of Engineering and Technology, Madurai, Tamil Nadu, India
Pub. Date
21 May, 2019
Paper ID
V5I3-1531
Publisher
Keywords
Satellite image classification, Support Vector Machine, K-mean algorithm, Fuzzy classification, Supervised classification, Unsupervised classification.

Citationsacebook

IEEE
Nandhini. Classification of satellite images using cellular automata, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Nandhini (2019). Classification of satellite images using cellular automata. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Nandhini. "Classification of satellite images using cellular automata." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

Satellite image classification is a substantial technique that is utilized in faraway sensing for the automatic evaluation and sample attention of the satellite tv for pc information, which provides the mechanical interpretation of a massive amount of data. Image classification introduces to label the photographs into the number of predefined categories. The Satellite Image classification consists of photograph sensors, photograph pre-processing, object detection, object segmentation, attribute extraction, and facts analysis. Many classification strategies have been derived for photograph classification. This paper will cover the study concerning the fundamentals of a number of classification methods used in the satellite tv for pc picture classification have been described. In this paper, a tabular assessment of the beforehand proposed methods has been presented for the better perception of these techniques.