| タイトル | Geometric analysis and restitution of digital multispectral scanner data arrays |
| 本文（外部サイト） | http://hdl.handle.net/2060/19750022559 |
| 著者（英） | Baker, J. R.; Mikhail, E. M. |
| 著者所属（英） | Purdue Univ. |
| 発行日 | 1975-01-01 |
| 言語 | eng |
| 内容記述 | An investigation was conducted to define causes of geometric defects within digital multispectral scanner (MSS) data arrays, to analyze the resulting geometric errors, and to investigate restitution methods to correct or reduce these errors. Geometric transformation relationships for scanned data, from which collinearity equations may be derived, served as the basis of parametric methods of analysis and restitution of MSS digital data arrays. The linearization of these collinearity equations is presented. Algorithms considered for use in analysis and restitution included the MSS collinearity equations, piecewise polynomials based on linearized collinearity equations, and nonparametric algorithms. A proposed system for geometric analysis and restitution of MSS digital data arrays was used to evaluate these algorithms, utilizing actual MSS data arrays. It was shown that collinearity equations and nonparametric algorithms both yield acceptable results, but nonparametric algorithms possess definite advantages in computational efficiency. Piecewise polynomials were found to yield inferior results. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 75N30632
NASA-CR-144398
T-1039/14
LARS-052875 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/188888 |
|
