ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 1, pp. 44-62

Assessment of satellite images segmentation methods for forest change detection

S.A. Bartalev , T.S. Khovratovich 
Russian Academy of Sciences Space Research Institute(IKI), 117997, 84/32 Profsoyuznaya str, Moscow, Russia
The paper is devoted to the selection of a proper image segmentation method for detection forest changes caused by logging using high spatial resolution satellite data. Four segmentation algorithms were examined. Algorithms were selected due to different strategies they use for combining pixel into connected regions. The evaluation is performed by different criteria that measure a difference between created partition of the image and reference data on clear-cuts developed by an expert. The paper proposed a method for comparing of segmentation algorithms and fitting theirs parameters.
Keywords: remote sensing, forest change detection, object-oriented approach, segmentation of satellite images
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