سال انتشار: ۱۳۸۲

محل انتشار: یازدهمین کنفرانس مهندسی برق

تعداد صفحات: ۸

نویسنده(ها):

Mohammad Reza Ahmadzadeh – School of Electronic Technology, Shiraz University
Maria Petrou – Informatics and Telematics Institute, CERTH, PO Box 361, 57001, Thermi, Thessaloniki, Greece, and School of Electronics and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK

چکیده:

Fusion of spatial remote sensing data (slope, aspect, soil depth and rock permeability) to assess the risk of desertification of a burned forest by an expert system is studied. Belief functions which are assigned to data classes are propagated through expert rules. Uncertainty in the data because of sub-sampling error and uncertainty in the rules are considered during the processes. Experiments show the effectiveness of taking into consideration the uncertainty in data and rules