Water quality monitoring of Lake Mead - A practical look at the difficulties encountered in the application of remotely sensed data to analysis of temporal change
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Smith, A. Y.↗
Engineering topics
Addington, J. D.
Publications and source records attributed to Addington, J. D..
A hybrid classifier using the parallelepiped and Bayesian techniques
A versatile classification scheme is developed which uses the best features of the parallelepiped algorithm and the Bayesian maximum likelihood algorithm. The parallelepiped technique has the advantage of being very fast, especially when implemented into a table look-up scheme; its disadvantage is its inability to distinguish and classify spectral signatures which are similar in nature. This disadvantage is eliminated by the Bayesian technique which is capable of distinguishing subtle differences very well. The hybrid algorithm developed reduces computer time by as much as 90%. A two- and n-dimensional description of the hybrid classifier is given.
Addington, J. D.↗
Thermal inertia mapping
A thermal model of the earth's surface has been developed and used to determine the thermal inertia of a test site in the Mojave Desert, California. The model, which includes meteorological heating terms as well as radiation and conduction heating terms, is used with remotely sensed surface temperature data to determine thermal inertia of materials. The thermal inertia is displayed in image form, and can aid in the differentiation of the various lithologic materials in the test site.
Kahle, A. B.↗