Abstract The ability to extract and describe the salient features represents the most difficult task of the aircraft recognition systems. In this paper, an aircraft recognition system based on the isodensity lines associated with the three-dimensional reflectivity of the model is illustrated. A recognition algorithm is described, which uses combination of 2-D moments in threedimensional isodensity maps to represent the aircraft as a feature vector containing 2L elements. Using a distance-weighted k-nearest neighbour rule as a classifier, the algorithm achieves a highly recognition rate when applied to 336 test images that represent six aircraft models. The same procedures are applied using the first two components of invariant moments, and the first system was found superior to this system with about 15% using the same number of isodensity lines.
Somaie, A. (2006). AIRCRAFT RECOGNITION BASED ON ISODENSITY AND ORDINARY MOMENTS. The International Conference on Electrical Engineering, 5(5th International Conference on Electrical Engineering ICEENG 2006), 1-10. doi: 10.21608/iceeng.2006.33540
MLA
A A Somaie. "AIRCRAFT RECOGNITION BASED ON ISODENSITY AND ORDINARY MOMENTS", The International Conference on Electrical Engineering, 5, 5th International Conference on Electrical Engineering ICEENG 2006, 2006, 1-10. doi: 10.21608/iceeng.2006.33540
HARVARD
Somaie, A. (2006). 'AIRCRAFT RECOGNITION BASED ON ISODENSITY AND ORDINARY MOMENTS', The International Conference on Electrical Engineering, 5(5th International Conference on Electrical Engineering ICEENG 2006), pp. 1-10. doi: 10.21608/iceeng.2006.33540
VANCOUVER
Somaie, A. AIRCRAFT RECOGNITION BASED ON ISODENSITY AND ORDINARY MOMENTS. The International Conference on Electrical Engineering, 2006; 5(5th International Conference on Electrical Engineering ICEENG 2006): 1-10. doi: 10.21608/iceeng.2006.33540
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