FUSION OF HIGH RESOLUTION OPTICAL AND SAR IMAGES WITH VECTOR DATA BASES FOR CHANGE DETECTION

被引：5

作者：

Poulain, Vincent ^{[1
]}

Inglada, Jordi ^{[1
]}

Spigai, Marc ^{[2
]}

Tourneret, Jean-Yves ^{[3
]}

Marthon, Philippe ^{[3
]}

机构：

[1] CNES, Toulouse, France

[2] Thales Alenia Space, Toulouse, France

[3] Univ Toulouse 1, IRIT, ENSEEIHT, F-31042 Toulouse, France

来源：

2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 | 2009年

关键词：

Image analysis; Change detection; Image tracted databases; Data fusion; Feature extraction;

D O I：

10.1109/IGARSS.2009.5417537

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This paper addresses the issue of cartographic database creation or update using high resolution SAR and optical images In cartographic applications, objects of interest are mainly buildings and roads. This paper proposes a processing chain to update building databases The approach is composed of two steps First, the presence of each database object is checked in the images Then, we verify if objects coming from an image segmentation should be added in the database To do those two steps. features are extracted from images in the neighborhood of the considered object. The object removal/inclusion in the database IS based on a score obtained by the fusion of features in the framework of Dempster Shafer evidence theory

引用

页码：3336 / +

页数：2

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