NDLI: Unmixing-Based Landsat TM and MERIS FR Data Fusion

Content Provider	IEEE Xplore Digital Library
Author	Zurita-Milla, R. Clevers, J. Schaepman, M.E.
Copyright Year	2004
Abstract	An unmixing-based data fusion technique is used to generate images that have the spatial resolution of Landsat Thematic Mapper (TM) and the spectral resolution provided by the Medium Resolution Imaging Spectrometer (MERIS) sensor. The method requires the optimization of the following two parameters: the number of classes used to classify the TM image and the size of the MERIS ldquowindowrdquo (neighborhood) used to solve the unmixing equations. The ERGAS index is used to assess the quality of the fused images at the TM and MERIS spatial resolutions and to assist with the identification of the best combination of the two parameters that need to be optimized. Results indicate that it is possible to successfully downscale MERIS full resolution data to a Landsat-like spatial resolution while preserving the MERIS spectral resolution.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	453
Ending Page	457
Page Count	5
File Size	744858
File Format	PDF
ISSN	1545598X
Volume Number	5
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Remote sensing Spatial resolution Fusion power generation Image generation Image resolution MERIS Image sensors Sensor fusion Optimization methods spatial unmixing ERGAS fusion quality Landsat linear mixing model Medium Resolution Imaging Spectrometer (MERIS)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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