Linear mixture modelling solution methods for satellite remote sensing

dc.contributor.authorHobbs, Stephen-
dc.date.accessioned2011-11-13T23:10:27Z
dc.date.available2011-11-13T23:10:27Z
dc.date.issued2003-11-04T00:00:00Z-
dc.description.abstractThis 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 sensingen_UK
dc.identifier.isbn1-871564-83-2-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/94
dc.subjectRemote sensingen_UK
dc.subjectLinear mixture modellingen_UK
dc.subjectMIXMODen_UK
dc.titleLinear mixture modelling solution methods for satellite remote sensingen_UK
dc.typeReport-

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