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

International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 36 - Number 11
Year of Publication: 2011
Jean Marie Gashayija
Prof. Elmarie Biermann

Jean Marie Gashayija and Prof. Elmarie Biermann. Article: Design and Development of an Image Classification and Recognition System for CubeSat Constellation. International Journal of Computer Applications 36(11):26-30, December 2011. Full text available. BibTeX

	author = {Jean Marie Gashayija and Prof. Elmarie Biermann},
	title = {Article: Design and Development of an Image Classification and Recognition System for CubeSat Constellation},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {36},
	number = {11},
	pages = {26-30},
	month = {December},
	note = {Full text available}


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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