21 April 2006 Recognition and evaluation of cedar forests from aerial photography data
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Proceedings Volume 6160, Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics; 61602F (2006) https://doi.org/10.1117/12.675878
Event: Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 2005, Tomsk, Russian Federation
Abstract
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.
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M. S. Petrova, M. S. Petrova, K. T. Protasov, K. T. Protasov, S. N. Velisevich, S. N. Velisevich, } "Recognition and evaluation of cedar forests from aerial photography data", Proc. SPIE 6160, Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 61602F (21 April 2006); doi: 10.1117/12.675878; https://doi.org/10.1117/12.675878
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