NDLI: A graph-cut-based method for spatio-temporal segmentation of fire from satellite observations

Content Provider	IEEE Xplore Digital Library
Author	Tarabalka, Y. Charpiat, G.
Copyright Year	2013
Description	Author affiliation: AYIN, INRIA Sophia-Antipolis Mediterranee, Sophia Antipolis, France (Tarabalka, Y.) \|\| STARS teams, INRIA Sophia-Antipolis Mediterranee, Sophia Antipolis, France (Charpiat, G.)
Abstract	We propose a new method based on graph cuts for the segmentation of burned areas in time series of satellite images. The method consists in rewriting a segmentation problem as a (s, t)-min-cut on the spatio-temporal image graph and computing this minimal cut. As burned areas grow in time, we introduce growth constraint in graph cuts by using directed infinite links connecting pixels at the same spatial locations in successive image frames. This method guarantees to find the globally optimal segmentation satisfying the growth constraint in small time complexity. Experimental results on a set of MODIS measurements over the Northern Australia demonstrated that the new approach succeeded in combining both spatial and temporal information for accurate segmentation of burned areas.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	3494
Ending Page	3497
File Size	631558
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723582
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation MODIS Time series analysis Remote sensing Satellites Australia Joints Segmentation fire mapping graph cut spatio-temporal graph
Content Type	Text
Resource Type	Article

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