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ŠUMARSKI LIST 11-12/2021 str. 38     <-- 38 -->        PDF

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URL1: http://www.geocarto.com.hk/edu/PJ-BCMBWV3G/main_BCW3.html
COMPARISON OF GEOBIA CLASSIFICATION ALGORITHMS BASED ON WORLDVIEW-3 IMAGEry in the EXTRACTION of COASTAL CONIFEROUS FOREST
Summary
With their ecological, economic, aesthetic, and social function, coniferous forests represent an important part of European forest communities. The main objective of this paper is to compare the most used GEOBIA (Geographic Object-Based Image Analysis) classification algorithms (Random Trees - RT, Maximum Likelihood - ML, Support Vector Machine - SVM) for the purposes of the coastal coniferous forest detection on a high-resolution WorldView-3 (WV-3) imagery on the topographic basin of the Split settlement (Figure 1). The methodological framework (Figure 2) includes: (1)