Support subspaces method for recognition of the synthetic aperture radar images using fractal compression

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ID: 78740
2017
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Ranked #8 of 12 articles by views in international journal of advanced robotic systems

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Abstract
The goal of this work is to develop a technology that can reduce recognition computational complexity with the rise of recognition quality. We use an approach based on implementation of the conjugation indices of the vectors with the class feature spaces. We suggest a new criterion of class separability based on the conjugation index and use it to form so-called support subspaces from the training vectors. This procedure decreases computing complexity at training stage about 1000 times in comparison with previous algorithm implementation and improves recognition quality. The most significant decrease of the computational complexity of the proposed technology is achieved by implementing the fractal compression to radar images. The results prove that using this technology leads to an increase of the recognition quality.
Reference Key
fursov2017supportinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fursov, Vladimir;Minaev, Evgeny;Zherdev, Denis;Kazanskiy, Nikolay;
Journal international journal of advanced robotic systems
Year 2017
DOI
DOI not found
URL
https://doi.org/10.1177/1729881417733952
Keywords
Computer applications to medicine. Medical informatics Science telecommunication electronics electronic computers. computer science print media

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