NDLI: A new method for multi sensor image fusion of remotely sensed images

Content Provider	IEEE Xplore Digital Library
Author	Patra, D. Praveen, B.K.
Copyright Year	2010
Description	Author affiliation: Dept. of Electrical Engineering, National Institute of technology Rourkela, Rourkela, India (Patra, D.; Praveen, B.K.)
Abstract	Image fusion refers to the process of combining two or more images into one composite image, which integrates the information contained within the individual images. In this paper, we have proposed a new image fusion scheme for remotely sensed images to fuse multispectral (MS) and panchromatic (Pan) images. The existing standard Intensity Hue Saturation (IHS) method as well as "a trous" wavelet decomposition (ATWD) method are effectively integrated to incorporate the benefits of both methods efficiently. ATWD consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low resolution) data, but wavelets have much less spatial information than those fused by standard Intensity-Hue-Saturation (IHS) method. Standard IHS method has high spectral distortion. In our proposed method, a modified IHS fusion new method based on controlling factor is formulated which can preserve more spatial and spectral characteristics. The performance of the proposed method is validated with SPOT SAR and LANDSAT images, where the performance analysis is yielded using correlation coefficient and root mean square error (RMSE). The effectiveness and the performance of the proposed method is found to be superior than the existing ones. The proposed new method gives the best results among all by preserving both spectral and spatial information.
Starting Page	206
Ending Page	210
File Size	1096163
Page Count	5
File Format	PDF
ISBN	9781424485444
e-ISBN	9781424485451
DOI	10.1109/IECR.2010.5720118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industrial electronics Image Pyramid Service robots Conferences Multiresolution Analysis Spectral Resolution Robot sensing systems Image fusion Remote sensing Spatial Resolution Intensity Hue Saturation
Content Type	Text
Resource Type	Article

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