The problem of evaluation of the bearing part of cedar crown from the data of remote observations is important for hard-to- reach forest areas. Since there are no data on automatic evaluation of the cedar productivity in the literature, we have developed an algorithm for evaluating the characteristics of the upper-level crown from aerial photography data. First, the continuous wavelet transform of the initial photograph is performed in the scales, optimal for separation of tree crowns. At the second stage, the maxima of the transformation coefficients are separated. They determine the centers and boundaries of tree crowns. At the third stage, the objects detected are checked for whether they are cedars. At this stage the Bayes decision rule is used. Finally, at the fourth stage, the cedar age classes are estimated using the Bayes decision rule.

Date Published: 21 April 2006
PDF: 10 pages
Proc. SPIE 6160, Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 61602F (21 April 2006); doi: 10.1117/12.675878

Published in SPIE Proceedings Vol. 6160:
Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics
Gelii A. Zherebtsov; Gennadii G. Matvienko, Editor(s)