Unmixing-Based Landsat TM and MERIS FR Data Fusion

Author

Zurita-Milla, Raul ; Clevers, Jan G P W ; Schaepman, Michael E.

Author_Institution

Centre for Geo-Inf., Wageningen Univ., Wageningen

Volume

5

Issue

3

fYear

2008

fDate

7/1/2008 12:00:00 AM

Firstpage

453

Lastpage

457

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.

Keywords

geophysical signal processing; remote sensing; sensor fusion; ERGAS index; Landsat TM; Landsat Thematic Mapper; MERIS; Medium Resolution Imaging Spectrometer; spatial resolution; spectral resolution; unmixing equation; unmixing-based data fusion; ERGAS; Landsat; Medium Resolution Imaging Spectrometer (MERIS); fusion quality; linear mixing model; spatial unmixing;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2008.919685

Filename

4512324