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Efficient Retrieval of Unrecognized Objects from Hyper spectral and High Resolution imagery into JPEG imagery Processing and Fusion

Author(s): T. Arumuga Maria Devi | Nallaperumal Krishnan | Mariadas Ronnie C.P

Journal: International Journal of Computer Science and Information Security
ISSN 1947-5500

Volume: 9;
Issue: 10;
Start page: 147;
Date: 2011;
Original page

Keywords: Anomaly suspect | spectral and spatial analysis | linear discrimination functions | registration algorithms | filter arrays.

This paper deals mainly with the performance study and analysis of image retrieval techniques for retrieving unrecognized objects from an image using Hyper spectral camera and high-resolution image. The main work identified is that efficient retrieval of unrecognized objects in an image will be made possible using spectral analysis and spatial analysis. The methods used above to retrieve unrecognized object from a high-resolution image are found to be more efficient in comparison with the other image retrieval techniques. The detection technique to identify objects in an image is accomplished in two steps: anomaly detection based on the spectral data and the classification phase, which relies on spatial analysis. At the classification step, the detection points are projected on the high-resolution images via registration algorithms. Then each detected point is classified using linear discrimination functions and decision surfaces on spatial features. The two detection steps possess orthogonal information: spectral and spatial. The objects in an image may require that its edges should be smoother in order to make it detect easily by the receiver when it is send from one machine to another. In order to overcome the problems associated with it, Transcoding technique is used by using filter arrays.
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