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