1. ISTCGCAP
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  3. Volume 78, 2013
  4. Research of forest classification methods using high-resolution space images

Research of forest classification methods using high-resolution space images

ISTCGCAP.
2013;
Volume 78, Number 78
: pp. 101 - 110
Received: August 28, 2013
Accepted: October 23, 2013
Authors:
  1. Khrystyna Burshtynska
  2. B. V. Polishchuk
  3. Olena KOVALCHUK
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University
3
Lviv Polytechnic National University, Educatinoal and Rasearch Institute of Law, Psychology and Innovative Education

In this paper a researches of methods for the controlled classification by the spectral distance, Mahalanobis distance and maximum probability to identify forests was conducted. As a materials for the research space images of the satellites Ikonos, QuickBird and test information from ground-based methods were used. As an outcome it was identified that the maximum probability method is the most efficient one for the forest classification issue.

 

classification of forests
satellite images
algorithms of computer analysis
method of maximum probability
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