Fast Algorithms for Estimating Aerosol Optical Depth and Correcting
Thematic Mapper Imagery
Fast Algorithms for Estimating Aerosol Optical Depth and Correcting
Thematic Mapper Imagery
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Date
1998-10-15
Authors
Fallah-Adl, Hassan
JaJa, Joseph
Liang, Shunlin
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Abstract
Remotely sensed images collected by the satellites are usually
contaminated by the effects of the atmospheric particles through
absorption and scattering of the radiation from the earth surface. The
objective of atmospheric correction is to retrieve the surface
reflectance from remotely sensed imagery by removing the atmospheric
effects, which is usually performed in two steps. First, the optical
characteristics of the atmosphere are estimated and then the remotely
sensed imagery is corrected by inversion procedures that derive the
surface reflectance.
In this paper we introduce an efficient algorithm to estimate the
optical characteristics of the Thematic Mapper (TM) imagery and to remove
the atmospheric effects from it. Our algorithm introduces a set of
techniques to significantly improve the quality of the retrieved images.
We pay a particular attention to the computational efficiency of the
algorithm, thereby allowing us to correct large TM images quite fast. We
also provide a parallel implementation of our algorithm and show its
portability and its scalability on several parallel machines.
(Also cross-referenced as UMIACS-TR-95-113)