Extraction of coherent zones by spatio-temporal analysis of remote sensing images

被引：0
|
作者：
Guyet, Thomas [1 ]
Malinowski, Simon [2 ]
Benyounes, Mohand Cherif [1 ]
机构：
[1] IRISA UMR 6079, AGROCAMPUS OUEST, 65 Rue Saint Brieuc, F-35042 Rennes, France
[2] Univ Rennes 1, IRISA UMR 6079, Rennes, France
来源：
REVUE INTERNATIONALE DE GEOMATIQUE | 2015年 / 25卷 / 04期
关键词：
time series; satellite images; clustering; segmentation;
D O I：
10.3166/RIG.25.473-494
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
This paper presents a segmentation method of satellite images time series (SITS) in coherent areas, i.e. in geographical regions having homogeneous temporal behavior. The aim of the method is firstly to extract space-time characteristics of an observed region and secondly to obtain this characterization efficiently in terms of computing cost. This method is applied to the characterization of agro-ecological regions of Senegal by the analysis of MODIS images on one year (23 dates).
引用
收藏
页码：473 / 494
页数：22
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