Aggrandized Aspect Based Mosaicing Technique for Scientifically Stigmatized Airborne Synthetic Aperture Radar

Authors(2) :-D. Bhavya Lakshmi, Prof. N. Sathianandam

In the digital image processing, enhancement and removing the noise in the airborne synthetic aperture radar (SAR) image is a critical issue. We have proposed a Kaze algorithm to enhance radar image interpretation and the computational time are reduced by using the Adaptive Random Sample theory which limits the search space and work well for feature detection of synthetic aperture radar image(SAR).The performance of the proposed approach has been evaluated and compared to the existing technique, The statistics obtained from each randomly selected feature is used to update this distribution, by reducing the total required number of random trials. The re-estimation for those selected features are done within a smaller search space with a more accurate algorithm like the RANSAC fitting, thus the proposed technique show that this two-stage algorithm reduces the total computation time by limiting the search space. The entire algorithm is simple and effective. Thus the image interpretation is enhanced by invariant feature Point detector in the areas of computer vision, real time image matching and object recognition.

Authors and Affiliations

D. Bhavya Lakshmi
Department of CSE, Thirumalai Engineering College, Kilambi, Kanchipuram, Tamil Nadu, India
Prof. N. Sathianandam
Department of CSE, Thirumalai Engineering College, Kilambi, Kanchipuram, Tamil Nadu, India

Mosaicing Technique, Synthetic Aperture Radar, RANSAC, KAZE, SAR, SHIFT algorithm

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2016-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 286-291
Manuscript Number : IJSRST1622107
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

D. Bhavya Lakshmi, Prof. N. Sathianandam , " Aggrandized Aspect Based Mosaicing Technique for Scientifically Stigmatized Airborne Synthetic Aperture Radar", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 2, Issue 2, pp.286-291, March-April-2016.
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