NDLI: Remote sensing images data fusion: a wavelet transform approach for urban analysis

Content Provider	IEEE Xplore Digital Library
Author	Fanelli, A. Leo, A. Ferri, M.
Copyright Year	2001
Description	Author affiliation: Dept. of Scienza e Ingegneria, Naples Univ., Italy (Fanelli, A.)
Abstract	There are several situations that simultaneously require both high spatial and spectral resolution in a single image. In literature a certain number of methods have been proposed to merge panchromatic and multispectral data. Classical processes involve a simple linear transformation of the combined data spaces (Brovey, HSV, PCA). However standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they distort the spectral characteristics of the original multispectral data. It has been shown that an image fusion technique based on multiresolution wavelet decomposition (MWD) seems to be a better trade-off between spectral and spatial information. In this paper, we develop some techniques, based on MWD, for the data fusion of such images. The methods presented for reducing the fusion imperfections don't consist simply of replacing some wavelet coefficients of the multispectral image by the corresponding coefficients of the high-resolution image but tend to carry out a real. integration between two pyramidal decomposition. In fact, it is possible to fuse the wavelet coefficients of two decompositions in each scale level and with some appropriate rules. Moreover, some "ad hoc" algorithms have been implemented to correct spectral distortions in the synthesized high resolution multispectral image. We tested the methods to merge IKONOS panchromatic (1 m spatial resolution) and IKONOS multispectral (4 m spatial resolution) images in urban areas. The techniques presented are clearly better than classical fusion methods in preserving both spectral and spatial information on urban areas.
Sponsorship	IEEE/Geosci. & Remote Sensing Soc.
Starting Page	112
Ending Page	116
File Size	636276
Page Count	5
File Format	PDF
ISBN	0780370597
DOI	10.1109/DFUA.2001.985737
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-08
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Wavelet transforms Spatial resolution Image resolution Multispectral imaging Wavelet coefficients Urban areas Principal component analysis Image fusion Fuses
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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