Unmixing of satellite thermal images: simulation and application to TM/Landsat data

Author

Zhukov, B. ; Oertel, D. ; Lehmann, F. ; Strobl, P.

Author_Institution

Inst. of Space Res., Acad. of Sci., Moscow, Russia

Volume

4

fYear

1996

fDate

27-31 May 1996

Firstpage

2107

Abstract

The Multi-Sensor Multi-Resolution Technique (MMT) was applied to unmix a lower resolution thermal TM image using higher resolution multispectral images obtained in the reflective TM channels. It allowed the authors to reveal high-resolution features, which were smeared or not recognizable in the original thermal image. The MMT accuracy was tested on a simulated data set and proved to be 0.8 K for the mean error of class radiant temperature retrieval and 1.6 K for the pixel error of the low-pass corrected unmixed image when the optimal number of classes was selected

Keywords

geophysical signal processing; geophysical techniques; infrared imaging; radiometry; remote sensing; terrestrial heat; IR radiometry; Landsat; Multi-Sensor Multi-Resolution Technique; TM; geophysical measurement technique; geothermal method; land surface; satellite remote sensing; satellite thermal image; simulation; terrain mapping; terrestrial heat; thermal TM image; thermal image; unmixing; Error correction; Image recognition; Image resolution; Image retrieval; Information retrieval; Multispectral imaging; Pixel; Satellites; Temperature; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516903

Filename

516903