Qualitative Spatial Reasoning for High-Resolution Remote Sensing Image Analysis

被引：31
|
作者：
Inglada, Jordi [1 ]
Michel, Julien [2 ]
机构：
[1] Ctr Natl Etud Spatiales, F-31401 Toulouse, France
[2] Commun & Syst, F-31506 Toulouse, France
来源：
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2009年 / 47卷 / 02期
关键词：
Graph theory; image analysis; image representations; spatial reasoning; RECOGNITION; REPRESENTATIONS;
D O I：
10.1109/TGRS.2008.2003435
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
High-resolution (HR) remote-sensing images allow, us to access new kinds of information. Classical techniques for image analysis. such as pixel-based classifications or region-based segmentations, do not allow to fully exploit the richness of this kind of images. Indeed, for many applications, we are interested in complex objects which can only he identified and analyzed by studying the relationships between the elementary objects which compose them. In this paper, the use of a spatial reasoning technique called region connection calculus for the analysis of HR remote-sensing images is presented. A graph-based representation of the spatial relationships between the regions of an image is used within a graph-matching procedure in order to implement ail object detection algorithm.
引用
收藏
页码：599 / 612
页数：14
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