Title :
Spatial resolution improvement of a low spatial resolution image using spatial component extracted from high spatial resolution images
Author_Institution :
Fac. of Eng., Gunma Univ., Japan
Abstract :
This method consists of two parts: extraction of the high spatial resolution from high spatial resolution visible and near-infrared images, reconstruction of the high resolution image from a low resolution image using extracted high resolution spatial information. Category decomposition for the high spatial resolution images extracts only high spatial resolution information from high spatial visible and near-infrared images and the reconstruction of high spatial resolution image is reconstructed by category composition processing. Where category composition and category decomposition are an inverse operation to each other. Examples of the spatial resolution improvement of low spatial thermal image and MOS-1 MSR image are demonstrated
Keywords :
geophysical techniques; geophysics computing; image processing; image recognition; remote sensing; category composition; category decomposition; geophysical measurement technique; land surface remote sensing imaging; low spatial resolution image; method; near-infrared; optical imaging; spatial resolution improvement; visible; Data mining; Image reconstruction; Image resolution; Infrared imaging; Infrared spectra; Remote sensing; Satellites; Spatial resolution; Thermal decomposition; Thermal sensors;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322038
