Date of Award


Document Type


Degree Name

Master of Science


Department of Electrical and Computer Engineering

First Advisor

Vittal P. Pyati, PhD


Using already available data, a backscattering coefficient generator (BCG) for several types of terrain and measurement conditions is developed. The types of terrain are: (1) soils and rocks, (2) trees, (3) grasses, (4) shrubs, (5) short vegetation, (6) roads, (7) urban areas, (8) dry snow, and (9) wet snow. These data sets typically cover incidence angles ranging between 0 and 80 degrees where 0 is normal to the terrain. Measurement conditions are defined by: (1) incidence angle, (2) wave polarizations configuration (HH, HV, or VV), and (3) radar band (L, C, S, X, Ku, Ka, or W). The BCG output matches very closely the first and second moments of the published data. A modified chi-square goodness of fit test at a 0.05 significance level is introduced to automatically validate the generated output with measured data histograms. The BCG reproduces 100% of measured mean backscattering coefficient (BC) and standard deviation values. The modified validation test failed to reject the BCG output as representative of the measured data for 72% of simulated distributions having a database-source-point number (N) greater than 100. Noted discrepancies can be attributed to sparse BC data histograms and BCG limitations at incidence angles less than 20 degrees for certain terrain types.

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The author's Vita page is omitted.