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