Spatial resolution enhancement of low resolution thermal infrared image based on other high resolution band images

Author

Nishii, Ryuei ; Kusanobu, Saeko ; Tanaka, Shoji

Author_Institution

Fac. of Integrated Arts & Sci., Hiroshima Univ., Japan

Volume

1

fYear

34881

fDate

10-14 Jul1995

Firstpage

667

Abstract

The Landsat TM sensor for thermal infrared measurements, Band 6, has lower resolution than those of other six bands. The authors propose a statistical approach to enhance the resolution of low resolution thermal infrared image by using other band images. They employ a multivariate normal distribution for the joint distribution of 7 band values. The values of Band 6 are predicted by the conditional expectations

Keywords

geophysical signal processing; image enhancement; image resolution; infrared imaging; normal distribution; probability; remote sensing; statistical analysis; Band 6; Landsat TM sensor; conditional expectations; high resolution band images; low resolution thermal infrared image; multivariate normal distribution; spatial resolution enhancement; statistical approach; Data analysis; Gaussian distribution; Image resolution; Infrared image sensors; Infrared imaging; Pixel; Remote sensing; Satellites; Spatial resolution; Thermal sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International

Conference_Location

Firenze

Print_ISBN

0-7803-2567-2

Type

conf

DOI

10.1109/IGARSS.1995.520487

Filename

520487