A Fast Algorithm for Road Recognition in Remote Sensing Image

被引：1

作者：

Li, Lili ^{[1
]}

Liu, Yongxin ^{[1
]}

机构：

[1] Inner Mongolia Univ, Coll Elect Informat Engn, Hohhot 010021, Peoples R China

来源：

PROGRESS IN MEASUREMENT AND TESTING, PTS 1 AND 2 | 2010年 / 108-111卷

关键词：

Remote sensing images; Road extraction; Adaptive binarization; Morphological operate;

D O I：

10.4028/www.scientific.net/AMR.108-111.1344

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 general, the road extraction methods in remote sensing images mainly are edge detection, feature integration, and so on. A fast road recognition arithmetic is presented in this paper. First using adaptive binarization arithmetic, the path on remote sensing images is extracted. Then morphological method is used to process image. Finally, the extracted image superimposed with the original and get clear road. Simulation results shows that this algorithm is efficiency, the anti-noise ability is enhance, and more precision.

引用

页码：1344 / 1347

页数：4

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