Research Papers

Multisensor fusion of satellite images for urban information extraction using pseudo-Wigner distribution

[+] Author Affiliations
Upendra Kumar Rajput

Indian Institute of Technology, Roorkee 247667, India

Sanjay Kumar Ghosh

Indian Institute of Technology, Roorkee 247667, India

Anil Kumar

Indian Institute of Remote Sensing, Dehradun 248001, India

J. Appl. Remote Sens. 8(1), 083668 (Mar 06, 2014). doi:10.1117/1.JRS.8.083668
History: Received September 11, 2013; Revised January 13, 2014; Accepted January 30, 2014
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Abstract.  A new algorithm has been proposed to fuse high-resolution panchromatic image with a low-resolution multispectral image of World View-2, based on pseudo-Wigner distribution (PWD). Spatial-frequency method, particularly PWD, provides pixel-wise analysis, shift invariant as well as characterization of local spectral properties of nonstationary image, which is indispensable for image fusion. The input images are re-sampled using nearest neighbor (NN), bicubic spline (BCS), and cubic convolution (CC). The comparison of performance of the proposed method and the discrete wavelet transform (DWT) has been evaluated using root mean square error, peak signal-to-noise ratio, correlation coefficient index. It has been found that PWD fusion technique outperforms DWT fusion technique using average as well as maximum selection rule, both quantitatively and qualitatively. All three resampling methods—the NN, the BCS, and the CC—do not have any significant effect on the final visual appearance of the fused images.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Upendra Kumar Rajput ; Sanjay Kumar Ghosh and Anil Kumar
"Multisensor fusion of satellite images for urban information extraction using pseudo-Wigner distribution", J. Appl. Remote Sens. 8(1), 083668 (Mar 06, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083668


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