Sensitivity to noise and performance of HRR-based ATR using the Maximum Position alignment method.
Roberto Gil-PitaManuel Rosa-ZureraRaul Vicen-BuenoLorena ÁlvarezFrancisco López-FerrerasPublished in: EUSIPCO (2008)
Keyphrases
- detection method
- high accuracy
- sensitivity analysis
- computational cost
- preprocessing
- cost function
- significant improvement
- segmentation method
- high precision
- image noise
- image alignment
- clustering algorithm
- similarity measure
- missing data
- input data
- noise reduction
- filtering method
- noisy data
- noise sensitivity
- support vector machine svm
- support vector machine
- experimental evaluation
- multiresolution
- objective function
- image segmentation