LARGE SCALE ROAD NETWORK EXTRACTION IN FORESTED MOUTAINOUS AREAS USING AIRBORNE LASER SCANNING DATA

被引：6

作者：

Ferraz, Antonio ^{[1
]}

Mallet, Clement ^{[1
]}

Chehata, Nesrine

机构：

[1] Univ Paris Est, Lab MATIS, IGN SR, St Mande, France

来源：

2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年

关键词：

Road Network extraction; airborne laser scanning data; mountainous areas;

D O I：

10.1109/IGARSS.2014.6947444

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：

In this work, we present an approach that is able to deal with large-scale road network mapping. While former methods focus on delineating patches of roads without computing a coherent road network, we formulate a very large number of road hypothesis that are pruned using a graph reasoning and weak a priori knowledge on road behavior. The initial solution is computed by means of two machine learning and pattern recognition state-of-the-art methods (namely, Random Forest classification and Marked Point Process) that allow to process very large areas in little time with very satisfactory results.

引用

页数：4