Criteria for satellite image restoration success

Dan Arbel; Shlomo Greenberg; Ofer Hadar; Norman S. Kopeika

doi:10.1117/1.1599360

1 September 2003 Criteria for satellite image restoration success

Dan Arbel, Shlomo Greenberg, Ofer Hadar, Norman S. Kopeika

Optical Engineering, Vol. 42, Issue 9, (September 2003). https://doi.org/10.1117/1.1599360

Many properties of the atmosphere affect the quality of images propagating through it by blurring and reducing their contrast. The atmospheric path involves several limitations, such as scattering, absorption of light, and turbulence, which degrade the image. Recently developed atmospheric filters, which correct for turbulence blur, aerosol blur, and path radiance simultaneously, are implemented here in the digital restoration of Landsat thematic mapper (TM) imagery. The turbulence modulation transfer function (MTF) is calculated from meteorological data or estimated if no meteorological data were measured. Aerosol MTF is consistent with optical depth. The product of the two yields atmospheric MTF, which is implemented in the atmospheric filter. Restoration improves smallness of size of both resolvable detail and contrast. Restorations are quite apparent even under clear weather conditions. A way to evaluate restoration improvement is presented here by the use of quantitative criteria as well as subjective opinions of human observers in perception experiments. Not all the restoration criteria represent improvement in the same tested image under the same restoration conditions. When one criterion suggests an enhancement, there is a chance that another one might represent a lower value for restoration success.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Dan Arbel, Shlomo Greenberg, Ofer Hadar, and Norman S. Kopeika "Criteria for satellite image restoration success," Optical Engineering 42(9), (1 September 2003). https://doi.org/10.1117/1.1599360

Published: 1 September 2003

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available