Road information extraction from IKONOS imagery based on clustering analysis and mathematical morphology

被引：0

作者：

Song, Yang ^{[1
]}

Wan, Youchuan ^{[2
]}

Shen, Shaohong ^{[2
]}

Wang, Hong ^{[1
]}

机构：

[1] Hubei Univ Econ, Sch Comp, Beijing 430205, Peoples R China

[2] Wuhan Univ, Sch Remote Sensing Informat Engn, Wuhan 430079, Peoples R China

来源：

MIPPR 2007: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS; AND MULTISPECTRAL IMAGE ACQUISITION, PTS 1 AND 2 | 2007年 / 6786卷

关键词：

remote sensing; high-resolution imagery; pattern recognition; road information; images fusion; texture analysis; clustering; fuzzy logic; mathematical morphology;

D O I：

10.1117/12.746249

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

In this paper, we present an approach based on clustering analysis and mathematical morphology to extract road information from IKONOS imagery. This road information extraction approach includes several key modules: Texture analysis based on the multi-band image to obtain two new features of "MLen/MWid" to improve the road clustering analysis; In order to optimize the primal binary imagery of road object area resulting from clustering Process, a texture analysis defined on binary imagery-"BATS" is presented, which ulteriorly expel the non-road pixels from the road area binary imagery; Furthermore, we carry out the process to extract road centerline network from the binary imagery of road object area based on mathematical morphology, through the process, several other methods, such as connectivity analysis, raster to vector transform, etc, are integrated.

引用

页数：6

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