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Object Classification Based on Radon Transform

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DOI: 10.23977/jipta.2016.11003 | Downloads: 63 | Views: 3006

Author(s)

Jing Ma 1, Baolong Guo 1

Affiliation(s)

1 Institute of Intelligent Control and Image Engineering, Xidian University, Xi’an 710071, China

Corresponding Author

Jing Ma

ABSTRACT

With the development of science and technology, the speed of taking and transmitting images has greatly improved, so that the target recognition technology based on remote sensing image becomes a reality. According to the deficiencies of the previous recognition methods, a method of automatic threshold is proposed for getting more accurate features about the positioned object, then the feature extraction by SVM classifier for classification and recognition. Experiments demonstrate the effectiveness of the current recognition system. The system provides a good performance in aircraft recognition and classification, at the same time it also offers better robustness.

KEYWORDS

Automatic Target Recognition (ATR), Radon Transform, Support Vector Machine (SVM) Classifier.

CITE THIS PAPER

Jing, M. and Baolong, G. (2016) Object Classification Based on Radon Transform. Journal of Image Processing Theory and Applications (2016) 1: 11-15.

REFERENCES

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