Spatial resolution improvement of a low spatial resolution image using spatial component extracted from high spatial resolution images

Author

Inamura, Minoru

Author_Institution

Fac. of Eng., Gunma Univ., Japan

fYear

1993

fDate

18-21 Aug 1993

Firstpage

2105

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1993.322038

Filename

322038