This paper is published in Volume-4, Issue-3, 2018
Area
Satellite Image Classification
Author
Akshata M. Marnur, Anil B. Gavade
Org/Univ
K.L.S. Gogte Institute of Technology, Belagavi, Karnataka, India
Pub. Date
25 May, 2018
Paper ID
V4I3-1576
Publisher
Keywords
ANN (Artificial Neural Network), SVM (Support Vector Machine), A Boosted Genetic Fuzzy Classifier (BGFC), Backpropagation (BP).

Citationsacebook

IEEE
Akshata M. Marnur, Anil B. Gavade. Satellite image classification and feature extraction using various classification techniques: A survey, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Akshata M. Marnur, Anil B. Gavade (2018). Satellite image classification and feature extraction using various classification techniques: A survey. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Akshata M. Marnur, Anil B. Gavade. "Satellite image classification and feature extraction using various classification techniques: A survey." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

The classification of remote sensing image plays an important role in pattern recognition. The objective of the image classification is extracted the tremendous information,  patterns present in the image in form of classes The Satellite images play a major role in a hassle-free monitoring and management of the natural resources such as land, forest, water etc. This paper presents a comprehensive overview of Image classification, its techniques, and review of various previously conducted works with techniques observations and the results obtained by them respectively. It also discusses the emerging classification techniques such as Fuzzy Logic and Artificial Neural Networks in brief.