Image and Signal Processing Methods

Hyperspectral image preprocessing with bilateral filter for improving the classification accuracy of support vector machines

[+] Author Affiliations
Anand S. Sahadevan, Bhabani S. Das

Indian Institute of Technology, Department of Agricultural and Food Engineering, Kharagpur 721302, West Bengal, India

Aurobinda Routray, Saquib Ahmad

Indian Institute of Technology, Department of Electrical Engineering, Kharagpur 721302, West Bengal, India

J. Appl. Remote Sens. 10(2), 025004 (Apr 18, 2016). doi:10.1117/1.JRS.10.025004
History: Received November 17, 2015; Accepted March 22, 2016
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Abstract.  Bilateral filter (BF) theory is applied to integrate spatial contextual information into the spectral domain for improving the accuracy of the support vector machine (SVM) classifier. The proposed classification framework is a two-stage process. First, an edge-preserved smoothing is carried out on a hyperspectral image (HSI). Then, the SVM multiclass classifier is applied on the smoothed HSI. One of the advantages of the BF-based implementation is that it considers the spatial as well as spectral closeness for smoothing the HSI. Therefore, the proposed method provides better smoothing in the homogeneous region and preserves the image details, which in turn improves the separability between the classes. The performance of the proposed method is tested using benchmark HSIs obtained from the airborne-visible-infrared-imaging-spectrometer (AVIRIS) and the reflective-optics-system-imaging-spectrometer (ROSIS) sensors. Experimental results demonstrate the effectiveness of the edge-preserved filtering in the classification of the HSI. Average accuracies (with 10% training samples) of the proposed classification framework are 99.04%, 98.11%, and 96.42% for AVIRIS–Salinas, ROSIS–Pavia University, and AVIRIS–Indian Pines images, respectively. Since the proposed method follows a combination of BF and the SVM formulations, it will be quite simple and practical to implement in real applications.

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Anand S. Sahadevan ; Aurobinda Routray ; Bhabani S. Das and Saquib Ahmad
"Hyperspectral image preprocessing with bilateral filter for improving the classification accuracy of support vector machines", J. Appl. Remote Sens. 10(2), 025004 (Apr 18, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.025004


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