NDLI: Multi-sensor remote sensing image fusion based on Retina-Inspired model

Content Provider	IEEE Xplore Digital Library
Author	Ghassemian, H.
Copyright Year	2009
Description	Author affiliation: School of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran (Ghassemian, H.)
Abstract	Remote sensing systems observe pixels in different portions of electromagnetic spectrum. These systems are designed within many competing constraints, among the most important being the trade off between the spatial resolution and the spectral resolution. To collect more photons and maintain image SNR, the multispectral sensors have a larger pixel compared to panchromatic sensors. With appropriate algorithms it is possible to combine these data and produce imagery with the best characteristics of both, namely high spatial and high spectral resolution. This process is known as a kind of data fusion. Some widely performed in the remote sensing community are HSI (hue-saturation and intensity) technique, PCA (principal component analyses) technique, and the Brovey transform technique. Recently, the Wavelet transform has been used for merging multi-resolution images. Normally, the objective of these procedures is to create a composite image of enhanced interpretability, but, those methods can distort the spectral characteristics of the multispectral images. This paper presents a multi-resolution data fusion scheme, based on visual channels image decomposition. This paper introduces a general issue of Retina-Inspired image analysis model, and application of the model in multispectral image fusion. A qualitative and quantitative comparison used to evaluate the spectral and spatial features performance of the proposed method with the others. Visual and statistical analyses show that the proposed algorithm significantly improves the fusion quality; compared to fusion methods including, IHS, PCA, Brovey, and discrete Wavelet transform (DWT). In this method, there is no need to resample images, which is an advantage over the other methods, it can perform in any aspect ratio between the panchromatic and MSS pixels.
Starting Page	500
Ending Page	505
File Size	2533921
Page Count	6
File Format	PDF
ISBN	9781424446810
DOI	10.1109/ISIEA.2009.5356424
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Retina-Inspired Model Multispectral imaging Sensor phenomena and characterization Multi-sensor Remote Sensing Discrete wavelet transforms Remote sensing Image sensors Data Fusion Electromagnetic spectrum Spatial resolution Image fusion Pixel Principal component analysis
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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