Možnosti detekce invazních neofytů pomocí distančních metod na příkladu rodu křídlatka (Reynoutria spp.)
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Moldrzyk, Jakub
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
Main purpusose of this study is to determine whether or not is possible to lokalize invasive neophyte through metods of remote sensing on the area of interest. Introductory chapters have dealt with the issue of the neophytes and describes the characteristics of the approaches to image classification. Other chapters include outputs of each classification and evaluation. In the final chapter of the thesis there is summary of the individual results .
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Import 22/07/2015
Subject(s)
reynoutria, image classification, suprevised classification, unsuprevised classification, object based classification, ROC analysis, Erdas Imagine, Ecognition Developer