Geo-information improving tree species classification using uas multispectral images and texture measures

HIGHLIGHTS

• who: Rossana Gini and colleagues from the Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy have published the research work: Geo-Information Improving Tree Species Classification Using UAS Multispectral Images and Texture Measures, in the Journal: (JOURNAL)
• what: In this work the PCA was carried out on two different datasets with two different purposes: 1. This study investigated whether the use of texture features, derived from ultra-high resolution UAS imagery, can improve the accuracy of vegetation classification.
• how: Combinations of original and derived bands were classified with the Maximum . . .
  

   

  

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