Specific material detection with similar colors using Feature selection and band ratio in hyperspectral image

Title
Specific material detection with similar colors using Feature selection and band ratio in hyperspectral image
Author(s)
김성호심민섭
Issue Date
201312
Citation
Journal of Institute of Control, Robotics and Systems, v.19, no.12, pp.1081 - 1088
Abstract
Hyperspectral cameras acquire reflectance values at many different wavelength bands. Dimensions tend to increase because spectral information is stored in each pixel. Several attempts have been made to reduce dimensional problems such as the feature selection using Adaboost and dimension reduction using the Simulated Annealing technique. We propose a novel material detection method that consists of four steps: feature band selection, feature extraction, SVM (Support Vector Machine) learning, and target and specific region detection. It is a combination of the band ratio method and Simulated Annealing algorithm based on detection rate. The experimental results validate the effectiveness of the proposed feature selection and band ratio method. ? ICROS 2013.
URI
http://hdl.handle.net/YU.REPOSITORY/27993http://dx.doi.org/10.5302/J.ICROS.2013.13.9038
ISSN
1976-5622
Appears in Collections:
공과대학 > 전자공학과 > Articles
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