Road extraction from SAR images by using a graphical sketch of road

被引：0
|
作者：
Cherifi, D [1 ]
Tupin, F [1 ]
Roux, M [1 ]
Maître, H [1 ]
机构：
[1] Ecole Natl Super Telecommun Bretagne, CNRS URA 820, Dept TSI, F-75013 Paris, France
来源：
SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES V | 2003年 / 4883卷
关键词：
SAR images; Markov random fields; road detection;
D O I：
10.1117/12.463067
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The subject of this communication is the detection of roads on SAR images starting from a user-drawn graphical sketch. This sketch is considered as a road model, and the main contribution of this communication is to incorporate this model in a yet-existinig blind road detection method to improve the quality and reliability of the detection. The method combines both local and global criteria for road extraction. It consists of mainly two parts. First local information is extracted by applying a low-level operator, based on a line detector taking into account the statistical properties of speckle in SAR images. In the second step, road detection is performed by selecting the best road in a graph composed of all the detected segments and all possible connections between them. To demonstrate the contribution of the use of a model in the road detection, we first introduce an "exact" model of the road (extracted for instance from a road map), in order to validate the method. Then the method is applied with an un-precise model (both in form and position). The obtained results from different SAR images are presented and evaluated with objective criteria.
引用
收藏
页码：60 / 69
页数：10
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