Object-oriented classification of substrate surface objects in arctic impact regions aerospace monitoring

A. A. Gurchenkov, A. B. Murynin, A. N. Trekin, V. Y.U. Ignatiev

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)135-146
Number of pages12
JournalHerald of the Bauman Moscow State Technical University, Series Natural Sciences
Issue number3
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • Ecosystem monitoring
  • Image segmentation
  • Object-oriented classification

Fingerprint

Dive into the research topics of 'Object-oriented classification of substrate surface objects in arctic impact regions aerospace monitoring'. Together they form a unique fingerprint.

Cite this