Remote Sensing Image Fusion Based on Nonlinear IHS and Fast Nonsubsampled Contourlet Transform

The purpose of remote sensing image fusion is to inject the detail image extracted from the panchromatic (PAN) image into the low spatial resolution multispectral (MS) image. A novel remote sensing image fusion method based on fast nonsubsampled contourlet transform (FNSCT) and Nonlinear intensity-h...

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Bibliographic Details
Published inJournal of the Indian Society of Remote Sensing Vol. 46; no. 12; pp. 2023 - 2032
Main Authors Du, Chaoben, Gao, Shesheng
Format Journal Article
LanguageEnglish
Published New Delhi Springer India 01.12.2018
Springer Nature B.V
Subjects
Computer vision
Defense industry
Detection
Earth and Environmental Science
Earth Sciences
Gabor filters
High frequencies
Image processing
Low frequencies
Remote sensing
Remote Sensing/Photogrammetry
Research Article
Saturation (color)
Spatial data
Spatial resolution
NSCT
IHS
Remote sensing
Image fusion
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Summary:The purpose of remote sensing image fusion is to inject the detail image extracted from the panchromatic (PAN) image into the low spatial resolution multispectral (MS) image. A novel remote sensing image fusion method based on fast nonsubsampled contourlet transform (FNSCT) and Nonlinear intensity-hue-saturation (IHS) is presented in this paper. Firstly, the Nonlinear IHS transform is performed on the multispectral image, and then the I-component representing the spatial resolution and the panchromatic image is transformed by NSCT to obtain the low frequency and high frequency. Finally, the coefficients are selected using the improved sum-modified-Laplacian (SML) method and the improved Log-Gabor filter in the low frequency and the high frequency, respectively. Experimental results show that the proposed method is the most advanced fusion method in subjective and objective evaluation, can provide more spatial information, and retain more spectral information compared with several other methods.
ISSN:0255-660X
0974-3006
DOI:10.1007/s12524-018-0859-y