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Comparative analysis of supervised methods for the classification of mountain forests based on space imagery from the satellite RapidEye

Вісник астрономічної школи

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Title Comparative analysis of supervised methods for the classification of mountain forests based on space imagery from the satellite RapidEye
 
Creator Shpak A.V.
 
Date 2012
 
Source Astronomical School’s Report, 2012, Volume 8, Issue 2, P. 212-215
2411-6602
 
Identifier http://astro.nau.edu.ua/papers/AstSR_2012_Vol_8_Iss_2_P_212.pdf
10.18372/2411-6602.08.2212
 
Language uk
 
Description This article is consider the current methods of supervised forest classification using multispectral RapidEye satellite imagery. The comparative analysis of Mahalanobis distance classification and minimum distance classification was made. Found that method of Mahalanobis distances is more efficient for forest classification.
 
Publisher National Aviation University
 
Format application/pdf
 

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