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Measuring The Physical Composition Of Urban Morphology Using Multiple Endmember Spectral Mixture Models, Tarek Rashed, John R. Weeks, Dar Roberts, John Rogan, Rebecca Powell
Measuring The Physical Composition Of Urban Morphology Using Multiple Endmember Spectral Mixture Models, Tarek Rashed, John R. Weeks, Dar Roberts, John Rogan, Rebecca Powell
Geography
The application of multiple endmember spectral mixture analysis (MESMA) to map the physical composition of urban morphology using Landsat Thematic Mapper (TM) data is evaluated and tested. MESMA models mixed pixels as linear combinations of pure spectra, called endmembers, while allowing the types and number of endmembers to vary on a per-pixel basis. A total of 63 two-, three-, and four-endmember models were applied to a Landsat TM image for Los Angeles County, and a smaller subset of these models was chosen based on fraction and root-mean-squared error (RMSE) criteria. From this subset, an optimal model was selected for each …