| Development of a Target Detection Algorithm using Spectral Pattern Observed from Hyperspectral Imagery |
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Jung-Il Shin, Kyu-Sung Lee |
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Department of Geoinformatic Engineering, Inha University |
| 초분광영상의 분광반사 패턴을 이용한 표적탐지 알고리즘 개발 |
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신정일, 이규성 |
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인하대학교 지리정보공학과 |
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| Abstract |
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In this study, a target detection algorithm was proposed for using hyperspectral imagery. The proposed algorithm is designed to have minimal processing time, low false alarm rate, and flexible threshold selection. The target detection procedure can be divided into two steps. Initially, candidates of target pixel are extracted using matching ratio of spectral pattern that can be calculated by spectral derivation. Secondly, spectral distance is computed only for those candidates using Euclidean distance. The proposed two-step method showed lower false alarm rate than the Euclidean distance detector applied over the whole image. It also showed much lower processing time as compared to the Mahalanobis distance detector. |
| Key Words:
Target Detection, Hyperspectral Imagery, Spectral Pattern |
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