Imaging Components, Systems, and Processing

Covariance-based band selection and its application to near-real-time hyperspectral target detection

[+] Author Affiliations
Jun-Hyung Kim, Jieun Kim, Yukyung Yang, Sohyun Kim, Hyun Sook Kim

Agency for Defense Development, 3rd R&D Institute, Electro-Optic Directorate, Daejeon, Republic of Korea

Opt. Eng. 56(5), 053101 (May 09, 2017). doi:10.1117/1.OE.56.5.053101
History: Received December 1, 2016; Accepted April 19, 2017
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Abstract.  The matched filter (MF) and adaptive coherence estimator (ACE) show great effectiveness in hyperspectral target detection applications. Practical applications in which on-board processing is generally required demand real-time or near-real-time implementation of these detectors. However, a vast amount of hyperspectral data may make real-time or near-real-time implementation of the detection algorithms almost impossible. Band selection can be one of the solutions to this problem by reducing the number of spectral bands. We propose a new band selection method that prioritizes spectral bands based on their influence on the detection performance of the MF and ACE and discards the least influential bands. We validate the performance of our method using real hyperspectral images. We also demonstrate our technique on near-real-time detection tasks and show it to be a feasible approach to the tasks.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Jun-Hyung Kim ; Jieun Kim ; Yukyung Yang ; Sohyun Kim and Hyun Sook Kim
"Covariance-based band selection and its application to near-real-time hyperspectral target detection", Opt. Eng. 56(5), 053101 (May 09, 2017). ; http://dx.doi.org/10.1117/1.OE.56.5.053101


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