ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR REMOTE SENSING IMAGE CLASSIFICATION – AN OVERVIEW

K.Anitha

ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR REMOTE SENSING IMAGE CLASSIFICATION – AN OVERVIEW

May 2021

Vol-7, Issue-3

Paper ID: 14394

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Electronics and communication engineering

Keywords

Remote sensing image processing artificial neural network algorithms

Abstract

Remote sensing described as any procedure by which information on an item, region or phenomena is collected without being connected; the word remote sensing is more precisely linked with assessing interactions of the earth's surface materials and electromagnetic radiation. In recent years, the remote sensing community has been focusing on the neural network method to data classification because this methodology requires no previous knowledge of statistical data distribution and quick categorization. This study focuses on the examination and utilization of several neural network algorithms, used in remote sensing image classification

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Author Information

#	Name	Institute / Affiliation
1	K.Anitha	SCSVMV University

How to Cite

Use the following formats to cite this article in your research.

APA Style

K.Anitha (2021). ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR REMOTE SENSING IMAGE CLASSIFICATION – AN OVERVIEW. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 1406-1409.

MLA Style

K.Anitha. "ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR REMOTE SENSING IMAGE CLASSIFICATION – AN OVERVIEW." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 1406-1409.

IEEE Style

K.Anitha, "ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR REMOTE SENSING IMAGE CLASSIFICATION – AN OVERVIEW," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 1406-1409, 2021.

Vancouver Style

K.Anitha. ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR REMOTE SENSING IMAGE CLASSIFICATION – AN OVERVIEW. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):1406-1409.

Harvard Style

K.Anitha (2021) 'ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR REMOTE SENSING IMAGE CLASSIFICATION – AN OVERVIEW', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 1406-1409.

Chicago Style

K.Anitha. "ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR REMOTE SENSING IMAGE CLASSIFICATION – AN OVERVIEW." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1406-1409.

Turabian Style

K.Anitha. "ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR REMOTE SENSING IMAGE CLASSIFICATION – AN OVERVIEW." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1406-1409.