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CLASSIFICATION OF LISS IV IMAGERY USING DECISION TREE METHODS     Crop  Vegetation Indices  Texture  Decision Tree  Classification  LISS IV       font style='font-size:12px;'> 2016/12/1
Image classification is a compulsory step in any remote sensing research. Classification uses the spectral information represented by the digital numbers in one or more spectral bands and attempts to ...
A lot of wetlands exist in the Yellow River Delta area, Shandong China and exhibit significance for the delta ecological environmental evolution and animal habitat protection. It is important for wetl...
This paper examines the applicability of binary decision tree (DT) classifier and ASTER data for the monitoring of wetland vegetation at plant family level (eight dominant plant families in the study ...
According to the deficiency of the process in Land Use Status quo Maps updating, this paper puts forward to a way to update The Land Use Status quo Maps based on decision tree, utilizing The Land Use ...
Accurate, current, and cost-effective fire fuel data are required by management and fire science communities for use in reducing wildland fire hazards over large areas. In this paper we present resul...

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