Linear mixture modelling solution methods for satellite remote sensing
| dc.contributor.author | Hobbs, Stephen | - |
| dc.date.accessioned | 2011-11-13T23:10:27Z | |
| dc.date.available | 2011-11-13T23:10:27Z | |
| dc.date.issued | 2003-11-04T00:00:00Z | - |
| dc.description.abstract | This report documents the algorithms used in the program MIXMOD to analyse mixed pixel data (assuming linear mixing). The report describes the mathematical algorithms rather than acting as a user’s manual for MIXMOD. The algorithms described obtain the desired solutions, quantify the quality of the solution, and estimate error bounds, using a variety of methods. A novel feature is the ability to handle uncertainty in the assumed end-member spectra, which in practice may be the dominant source of error. The report includes a brief literature review to place the work in its broader context (with references to the mathematics of linear systems and other applications of mixture modelling in remote sensing | en_UK |
| dc.identifier.isbn | 1-871564-83-2 | - |
| dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/94 | |
| dc.subject | Remote sensing | en_UK |
| dc.subject | Linear mixture modelling | en_UK |
| dc.subject | MIXMOD | en_UK |
| dc.title | Linear mixture modelling solution methods for satellite remote sensing | en_UK |
| dc.type | Report | - |