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Design and Development of an Image Classification and Recognition System for CubeSat Constellation

by Jean Marie Gashayija, Prof. Elmarie Biermann
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 36 - Number 11
Year of Publication: 2011
Authors: Jean Marie Gashayija, Prof. Elmarie Biermann
10.5120/4534-6444

Jean Marie Gashayija, Prof. Elmarie Biermann . Design and Development of an Image Classification and Recognition System for CubeSat Constellation. International Journal of Computer Applications. 36, 11 ( December 2011), 26-30. DOI=10.5120/4534-6444

@article{ 10.5120/4534-6444,
author = { Jean Marie Gashayija, Prof. Elmarie Biermann },
title = { Design and Development of an Image Classification and Recognition System for CubeSat Constellation },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 36 },
number = { 11 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume36/number11/4534-6444/ },
doi = { 10.5120/4534-6444 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:22:57.545513+05:30
%A Jean Marie Gashayija
%A Prof. Elmarie Biermann
%T Design and Development of an Image Classification and Recognition System for CubeSat Constellation
%J International Journal of Computer Applications
%@ 0975-8887
%V 36
%N 11
%P 26-30
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The major problems with stored images in large image database are retrieval of precisely, clear images and semantic gap. Proposed methodology approach, author will arrange, classify and categorize image into database in order to solve identified problem of retrieval and semantic gap. This proposal in progress is to solve this underlying problem of semantic gap for large images databases for small satellite database (such as CubeSats constellation) and look as well effective efficiency algorithm to improve existing methods. This paper proposes a solution based on image classification and recognition methods (such k-nearest classification and support vector machine methods) to solve this underlying semantic gap problem.

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Index Terms

Computer Science
Information Sciences

Keywords

Image recognition Image classification Pattern recognition Image retrieval systems

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