Spatial resolution enhancement with constraint least square method

Author

Arai, Kohei ; Ueda, Yuko ; Terayama, Yasunori ; Matsumoto, M.

Author_Institution

Dept. of Inf. Sci., Saga Univ., Japan

fYear

1993

fDate

18-21 Aug 1993

Firstpage

1693

Abstract

A method for spatial resolution enhancement by means of inversion techniques is proposed. If the samples are overlapped, effective spatial resolution can be improved even if the instantaneous field of view (IFOV) of a satellite based sensor is large. Experimental results with MOS-1/VTIR data show almost twice of improvement of spatial resolution. It was found that mean square error between original and enhanced images increases with increasing existing noise and overlapping ratio. Another method with constraints is also proposed to overcome such a noise sensitivity. Depending on the constraints, mean square error decreases in accordance with degradation of spatial resolution enhancement effect

Keywords

geophysical techniques; geophysics computing; image processing; image reconstruction; least squares approximations; remote sensing; MOS-1/VTIR data; constraint least square method; degradation; existing noise; instantaneous field of view; inversion techniques; mean square error; noise sensitivity; overlapping ratio; satellite based sensor; spatial resolution enhancement; Degradation; Equations; Filtering; Image restoration; Least squares methods; Mean square error methods; Nonlinear filters; Satellites; Spatial resolution; Wiener filter;

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.1993.322437

Filename

322437