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Automatic Object Recognition from Satellite Images using Artificial Neural Network

by Anil Kumar Goswami, Shalini Gakhar, Harneet Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 10
Year of Publication: 2014
Authors: Anil Kumar Goswami, Shalini Gakhar, Harneet Kaur
10.5120/16633-6502

Anil Kumar Goswami, Shalini Gakhar, Harneet Kaur . Automatic Object Recognition from Satellite Images using Artificial Neural Network. International Journal of Computer Applications. 95, 10 ( June 2014), 33-39. DOI=10.5120/16633-6502

@article{ 10.5120/16633-6502,
author = { Anil Kumar Goswami, Shalini Gakhar, Harneet Kaur },
title = { Automatic Object Recognition from Satellite Images using Artificial Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 10 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number10/16633-6502/ },
doi = { 10.5120/16633-6502 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:19:07.536080+05:30
%A Anil Kumar Goswami
%A Shalini Gakhar
%A Harneet Kaur
%T Automatic Object Recognition from Satellite Images using Artificial Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 10
%P 33-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Object recognition from satellite images is a very important application for various purposes. Objects can be recognized based on certain features and then applying some algorithm to extract those objects. Basically object recognition is a classification problem. For various remote sensing applications, waterbody acts as an important object which needs to be extracted. It is wise and better if possible, to extract waterbody object automatically from satellite data without any human intervention. This can be achieved using machine learning techniques. Artificial Neural Network (ANN) is such technique which makes machine intelligent by providing learning to it. This intelligent machine can extract objects automatically. This paper presents a methodology to extract waterbody object from satellite data in an automatic manner with the help of ANN. Training and testing dataset have been created by a domain expert which then have been used to train Multi Layer Perceptron (MLP) using Error Back Propagation (EBP) learning algorithm. Confusion matrix and Kappa coefficient have been used for accuracy assessment.

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Index Terms

Computer Science
Information Sciences

Keywords

Object Recognition Artificial Neural Network (ANN) Multi Layer Perceptron (MLP) Error Back Propagation (EBP) Waterbody Automatic Waterbody Extraction Weight File Image Classification Supervised Classification

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