Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Spectral Content Characterization for Efficient Image Detection Algorithm Design | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 82874 14 pages doi 2007 82874 Research Article Spectral Content Characterization for Efficient Image Detection Algorithm Design Kyoung-Su Park 1 Sangjin Hong 1 Peom Park 2 3 and We-Duke Cho4 1 Mobile Systems Design Laboratory Department of Electrical and Computer Engineering Stony Brook University -SUNY Stony Brook NY 11794-2350 USA 2 Department of Industrial and Information Systems Engineering Ajou University Suwon-Si 442-749 South Korea 3 Humintec Co. Ltd. Suwon-Si 443-749 South Korea 4 Department of Electronics Engineering College of Information Technology Ajou University Suwon-Si 442-749 South Korea Received 8 August 2006 Revised 25 January 2007 Accepted 30 January 2007 Recommended by . Jay Kuo This paper presents spectral characterization for efficient image detection using hyperspectral processing techniques. We investigate the relationship between the number of used bands and the performance of the detection process in order to find the optimal number of band reductions. The band reduction significantly reduces computation and implementation complexity of the algorithms. Specifically we define and characterize the contribution coefficient for each band. Based on the coefficients we heuristically select the required minimum bands for the detection process. We have shown that the small number of bands is efficient for effective detection. The proposed algorithm is suitable for low-complexity and real-time applications. Copyright 2007 Kyoung-Su Park et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION The hyperspectral imaging systems have found various civilian and military applications. The high efficiency and flexibility of hyperspectral sensors provide a powerful .
