Object-Oriented Classification of Substrate Surface Objects in Arctic Impact Regions Aerospace Monitoring

Authors: Gurchenkov A.A., Murynin A.B., Trekin A.N., Ignatyev V.Yu. Published: 24.05.2017
Published in issue: #3(72)/2017  
DOI: 10.18698/1812-3368-2017-3-135-146

Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control and Information Processing  
Keywords: object-oriented classification, image segmentation, ecosystem monitoring

The paper proposes a method for recognition of earth surface types according to space images using object-oriented classification. The classification is conducted in two stages: Markov stochastic segmentation for object extraction and supervised classification of the objects. The method is tested on space imagery of the Russian Arctic in comparison with point-oriented classification.


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