Linear mixture modelling solution methods for satellite remote sensing

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dc.creator Hobbs, Stephen
dc.date 2011-11-13T23:10:27Z
dc.date 2011-11-13T23:10:27Z
dc.date 2003-11-04T00:00:00Z
dc.date.accessioned 2022-05-09T10:17:14Z
dc.date.available 2022-05-09T10:17:14Z
dc.identifier 1-871564-83-2
dc.identifier http://dspace.lib.cranfield.ac.uk/handle/1826/94
dc.identifier.uri https://reports.aerade.cranfield.ac.uk/handle/1826.2/4671
dc.description 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
dc.subject Remote sensing
dc.subject Linear mixture modelling
dc.subject MIXMOD
dc.title Linear mixture modelling solution methods for satellite remote sensing
dc.type Report


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