Title :
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
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;
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
DOI :
10.1109/IGARSS.1995.520487