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- Title
APPLICATION OF AN AUTOFOCUSING ALGORITHM FOR SAR IMAGE QUALITY IMPROVEMENT AND APPLICATION OF THE MODIFIED FRACTAL SIGNATURE (MFS) METHOD FOR SAR IMAGE CLASSIFICATION FOR THE CASE OF REAL RADAR DATA.
- Authors
Malamou, A.; Pandis, C.; Karakasiliotis, A.; Stefaneas, P.; Kodokostas, D.; Frangos, P.
- Abstract
In the first part of this paper, the application of an autofocusing algorithm is presented for the case of real field radar data, provided to us by SET 163 Working Group. This algorithm is named 'CPI-split-algorithm', where CPI stands for 'Coherent Processing Interval'. Numerical results presented in this paper show the effectiveness of the proposed autofocusing algorithm for SAR image enhancement. In the second part of this paper the Modified Fractal Signature (MFS) method is presented. This method uses the 'blanket' technique to provide useful information for SAR image classification. The MFS method is applied in real field data provided to us by SET 163 Working Group (comparison of a 'town' area, 'suburban' area and 'sea' area). In these results it is clearly seen that the type of area can be distinguished by the value of MFS signature for the real data.
- Subjects
IMAGE quality in synthetic aperture radar; FRACTAL analysis; MICROSCOPY; ELECTROMAGNETISM; ALGORITHMS
- Publication
Journal of Applied Electromagnetism, 2014, Vol 16, Issue 1, p46
- ISSN
1109-1606
- Publication type
Article