Object Classification Based on Radon Transform
DOI: 10.23977/jipta.2016.11003 | Downloads: 69 | Views: 4389
Jing Ma 1, Baolong Guo 1
1 Institute of Intelligent Control and Image Engineering, Xidian University, Xi’an 710071, China
Corresponding AuthorJing Ma
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.
KEYWORDSAutomatic 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.
 Xufeng Zhu., Caiwen Ma.: The Study of Combined Invariants Optimization Method on Aircraft Recognition, Symposium on Photon-ics and Optoelectronics. IEEE Press, 1-4(2011)
 Wei Li., Shiming Xiang., Haibo Wang., Chunhong Pan.: Robust Airplane Detection in Satellite Images, International Conference on Image Processing. IEEE Press, 2821-2824(2011)
 J.-W Hsieh., J.-M Chen., C.-H Chuang., et al.: Aircraft Type Recognition in Satellite Images.
 IEE Proceedings on Vision, Image and Signal Processing, 152(3): 307-315(2005)
 Ge Liu., Xian Sun., Kun Fu., et al.: Aircraft Recognition in High-resolution Satellite Images Using Coarse-to-fine Shape Prior. IEEE Geoscience and Remote Sensing Letters, 10(3): 573-577(2013)
 Hu.: Visual Pattern Recognition by Moment Invariants. IRE Transactions on Information Theory, 2(8): 179-187(1962)
 GE Qiaode Jeffrey.: Fourier Descriptors with Different Shape Sig-natures: A Comparative Study for Shape Based Retrieval of Kinematic Constraints. Chinese Journal of Mechanical Engineering, 05:723-730(2011)
 M., Deng Y.: SVM Classifier – a comprehensive java interface for support vector machine classification of microarray data. Bmc Bioinformatics, 7(Suppl 4):1-7(2006).