Research Article
Remote Sensing Satellite Image Classification Using Neural Network
@INPROCEEDINGS{10.4108/eai.7-6-2021.2308650, author={G. Karthik and M. Sangeetha and B. Karthik}, title={Remote Sensing Satellite Image Classification Using Neural Network}, proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India}, publisher={EAI}, proceedings_a={I3CAC}, year={2021}, month={6}, keywords={satellite classification convolution neural network deep learning matlab}, doi={10.4108/eai.7-6-2021.2308650} }
- G. Karthik
M. Sangeetha
B. Karthik
Year: 2021
Remote Sensing Satellite Image Classification Using Neural Network
I3CAC
EAI
DOI: 10.4108/eai.7-6-2021.2308650
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.
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