Improved estimation of fraction images using partial image restoration

Author

Wu, Hsien-Huang P. ; Schowengerdt, Robert A.

Author_Institution

CompuMed, Tucson, AZ, USA

Volume

31

Issue

4

fYear

1993

fDate

7/1/1993 12:00:00 AM

Firstpage

771

Lastpage

778

Abstract

It is noted that mixed pixels are unavoidable in remote sensing imagery, but signature mixing models can be effective in improving the usefulness of the image data. Unmixing error caused by sensor system point spread function (PSF) degradation is studied, and the application of image restoration before spectral unmixing to improve the unmixing results is investigated. It is shown that the characteristics of the problem makes the design of a restoration filter differ from that for visual enhancement. Simulation results show that, depending on the scene complexity, unmixing error can be reduced by up to 72% using the proposed restoration scheme. It is concluded that image restoration is useful in increasing the accuracy of spectral unmixing

Keywords

geophysical techniques; geophysics computing; image processing; image reconstruction; remote sensing; computerised picture processing; degradation; fraction images; geophysics; image estimation; image restoration; land surface; measurement; mixed pixels; partial image restoration; remote sensing; sensor system point spread function; signature mixing models; spectral unmixing; technique; unmixing error; Crops; Filters; Hyperspectral imaging; Hyperspectral sensors; Image restoration; Layout; Minerals; Pixel; Remote sensing; Sensor systems;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.239899

Filename

239899