Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72755
Title: Modified eigen-image approach to radar target identification
Authors: Ramanathan, Umaiyal
Sum, Ng Chun 
Soon, Yeo Tat 
Issue Date: 2000
Source: Ramanathan, Umaiyal,Sum, Ng Chun,Soon, Yeo Tat (2000). Modified eigen-image approach to radar target identification. International Geoscience and Remote Sensing Symposium (IGARSS) 1 : 165-167. ScholarBank@NUS Repository.
Abstract: A modified approach to the eigen-image classifier is presented. The criterion for selection of eigenvectors is based on minimizing the ratio of the sum of the intra-class variances to the inter-class variance. On average, the percentage of correct classification has gone up by 3.6% from 89.3% to 92.9% using this modified selection criterion. Correct classification performance is not affected by the modified selection criteria, if the images in that sector behaved according to the ideal case, where the intra-class variance is small and inter-class variance is large.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/72755
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