This paper is published in Volume-5, Issue-5, 2019
Area
Computer Science Engineering
Author
Roseleen Sahota
Co-authors
Dr. Harish Kundra
Org/Univ
Rayat Bahra Group of Institutions, Ropar, Punjab, India
Pub. Date
28 September, 2019
Paper ID
V5I5-1194
Publisher
Keywords
Image classification, SVM, Near Neighbor Based, PSO, BAT, MDC, Membrane Computing

Citationsacebook

IEEE
Roseleen Sahota, Dr. Harish Kundra. A review on various approaches of remote sensing based satellite image classification, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Roseleen Sahota, Dr. Harish Kundra (2019). A review on various approaches of remote sensing based satellite image classification. International Journal of Advance Research, Ideas and Innovations in Technology, 5(5) www.IJARIIT.com.

MLA
Roseleen Sahota, Dr. Harish Kundra. "A review on various approaches of remote sensing based satellite image classification." International Journal of Advance Research, Ideas and Innovations in Technology 5.5 (2019). www.IJARIIT.com.

Abstract

Image Classification is the process that has been done for extraction of valuable regions from the image. In this paper various approaches have been discussed that has been used for process of image classification. Supervised image classification and unsupervised image classification has been widely used for classification process. Classification has the major advantage that provides information about the various regions that are scattered over the satellite image. This has been used for prediction of percentage of various regions under different maps. Supervised classification approaches are based on machine learning algorithms that have been used for different types of prediction and decision making processes. On the basis of various approaches that have been discussed in this paper one can predict best approach for image classification process.
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