Remote Sensing Satellite Image Classification Using Neural Network

Karthik, G. and Sangeetha, M. and Karthik, B. (2021) Remote Sensing Satellite Image Classification Using Neural Network. In: I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

[img]
Preview
Text (PDF)
eai.7-6-2021.2308650.pdf - Published Version

Download (492kB) | Preview

Abstract

Continuous monitoring of the geographical area of the Earth has become a necessity. Either to develop the infrastructure or to protect the resources of a region the right analysis of the geographical distribution has to be detected. Hence processing of satellite image of the region is the best solution. This paper proposes an approach for refining the detection and classification of various geographical regions like land, water, forest etc., in an area. Here the Convolutional Neural Network (CNN) classifier of deep learning technique is applied for processing the satellite image of the region under study using Matlab platform.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: satellite classification convolution neural network deep learning matlab
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 21 Jun 2021 08:11
Last Modified: 21 Jun 2021 08:11
URI: https://eprints.eudl.eu/id/eprint/3907

Actions (login required)

View Item View Item