| dc.contributor.author | Fallah-Adl, Hassan | en_US |
| dc.contributor.author | JaJa, Joseph | en_US |
| dc.contributor.author | Liang, Shunlin | en_US |
| dc.contributor.author | Kaufman, Yoram J. | en_US |
| dc.contributor.author | Townshend, John | en_US |
| dc.date.accessioned | 2004-05-31T22:32:20Z | |
| dc.date.available | 2004-05-31T22:32:20Z | |
| dc.date.created | 1995-04 | en_US |
| dc.date.issued | 1998-10-15 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1903/726 | |
| dc.description.abstract | Remotely sensed imagery has been used for developing and validating
vairous studies regarding land cover dynamics such as global carbon modeling,
biogeochemical cycling, hydrological modeling, and ecosystem response
modeling. However, the large amounts of imagery collected by the satellites
are largely contaminated by the effects of atmospheric particles through
absorption and scattering of the radiation from the earth surface. The
objective of atmospheric correction is to retrieve the surface
reflectance (that characterizes the surface properties) from remotely sensed
imagery by removing the atmospheric effects. Atmospheric correction has been
shown to significantly improve the accuracy of image classification.
(Also cross-referenced as UMIACS-TR-95-53) | en_US |
| dc.format.extent | 2922727 bytes | |
| dc.format.mimetype | application/postscript | |
| dc.language.iso | en_US | |
| dc.relation.ispartofseries | UM Computer Science Department; CS-TR-3464 | en_US |
| dc.relation.ispartofseries | UMIACS; UMIACS-TR-95-53 | en_US |
| dc.title | Efficient Algorithms for Atmospheric Correction of Remotely Sensed Data | en_US |
| dc.type | Technical Report | en_US |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_US |
| dc.relation.isAvailableAt | University of Maryland (College Park, Md.) | en_US |
| dc.relation.isAvailableAt | Tech Reports in Computer Science and Engineering | en_US |
| dc.relation.isAvailableAt | UMIACS Technical Reports | en_US |
