ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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9
Issue
vol 60 / SEPTEMBER, 2017
Article
UDC 004.932, 631.171

ESTIMATE OF TYPE RECOGNITION ACCURACY OF AUTOMATED PROCESSING OF AERIAL PHOTOGRAPHS

I. V. Manylov
St. Petersburg State University of Aerospace Instrumentation, Department of Micro- and Nanotechnology in Aerospace Instrumentation; Associate Professor


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Abstract. Comparison of algorithms for Euclidian and Makhalanobis spacing calculation is performed. The results are applied to the problem of accuracy of aerial photographs decoding for estimation of agricultural area conditions.
Keywords: aerial photograph, agricultural area, digital classification, decoding, image analysis, automation.