Target Identification Based on Corner Character and Self-adaptive Kernel Clustering Algorithm
2007
【Abstract】A novel target identification method based on corner character and self-adaptive kernel clustering algorithm is proposed. Validity measure function is introduced to the kernel clustering algorithm, and it can get the sorts’ number automatically. The method is used for detecting the airplane. Experiments show that the algorithm is efficient. 【Key words】Corner character; Kernel clustering; Validity measure function; Airplane identification
Keywords:
- Mathematics
- Kernel embedding of distributions
- Fuzzy clustering
- Correlation clustering
- Radial basis function kernel
- CURE data clustering algorithm
- Cluster analysis
- Canopy clustering algorithm
- Machine learning
- Variable kernel density estimation
- Pattern recognition
- Artificial intelligence
- Computer science
- Algorithm
- Correction
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