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Sensors 2015, 15(7), 15868-15887;

A Real-Time Infrared Ultra-Spectral Signature Classification Method via Spatial Pyramid Matching

School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
Electronic Information School, Wuhan University, Wuhan 430072, China
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 20 May 2015 / Revised: 15 June 2015 / Accepted: 24 June 2015 / Published: 3 July 2015
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [903 KB, uploaded 3 July 2015]


The state-of-the-art ultra-spectral sensor technology brings new hope for high precision applications due to its high spectral resolution. However, it also comes with new challenges, such as the high data dimension and noise problems. In this paper, we propose a real-time method for infrared ultra-spectral signature classification via spatial pyramid matching (SPM), which includes two aspects. First, we introduce an infrared ultra-spectral signature similarity measure method via SPM, which is the foundation of the matching-based classification method. Second, we propose the classification method with reference spectral libraries, which utilizes the SPM-based similarity for the real-time infrared ultra-spectral signature classification with robustness performance. Specifically, instead of matching with each spectrum in the spectral library, our method is based on feature matching, which includes a feature library-generating phase. We calculate the SPM-based similarity between the feature of the spectrum and that of each spectrum of the reference feature library, then take the class index of the corresponding spectrum having the maximum similarity as the final result. Experimental comparisons on two publicly-available datasets demonstrate that the proposed method effectively improves the real-time classification performance and robustness to noise. View Full-Text
Keywords: ultra-spectral signature; classification; spatial pyramid matching ultra-spectral signature; classification; spatial pyramid matching
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 (CC BY 4.0).

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Mei, X.; Ma, Y.; Li, C.; Fan, F.; Huang, J.; Ma, J. A Real-Time Infrared Ultra-Spectral Signature Classification Method via Spatial Pyramid Matching. Sensors 2015, 15, 15868-15887.

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