| タイトル | Spectral Dark Subtraction: A MODTRAN-Based Algorithm for Estimating Ground Reflectance without Atmospheric Information |
| 本文（外部サイト） | http://hdl.handle.net/2060/20070038216 |
| 著者（英） | Ryan, Robert; Gasser, Gerald; Pagnutti, Mary; Holekamp, Kara; Carver, David; Freedman, Ellis; Greer, Randy |
| 著者所属（英） | Lockheed Martin Integrated Systems and Solutions |
| 発行日 | 2007-01-01 |
| 言語 | eng |
| 内容記述 | Spectral Dark Subtraction (SDS) provides good ground reflectance estimates across a variety of atmospheric conditions with no knowledge of those conditions. The algorithm may be sensitive to errors from stray light, calibration, and excessive haze/water vapor. SDS seems to provide better estimates than traditional algorithms using on-site atmospheric measurements much of the time. |
| NASA分類 | Earth Resources and Remote Sensing |
| 権利 | Copyright, Distribution under U.S. Government purpose rights |
