Features and Methods of Road Extraction from High-resolution Remote Sensing Images

被引：0
|
作者：
You, Guoping [1 ]
Zeng, Wanghui [1 ]
机构：
[1] Jiangxi Sci & Technol Normal Univ, Inst Commun & Elect, Nanchang, Jiangxi, Peoples R China
来源：
2019 CROSS STRAIT QUAD-REGIONAL RADIO SCIENCE AND WIRELESS TECHNOLOGY CONFERENCE (CSQRWC) | 2019年
关键词：
remote sensing image; road; automation; semi automation; high resolution;
D O I：
10.1109/csqrwc.2019.8799306
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：
Road network is an important part of ground remote sensing image, and extraction of road network information plays an important role in image matching and urban planning. In recent years, high-resolution remote sensing images have attracted more and more attention of people, and object detection and recognition from high-resolution image data has become an important research topic. In this paper, the basic features of roads in high-resolution remote sensing images are briefly described, and two methods of road network extraction are analyzed and compared. It is of great significance to make better use of road features to effectively remove the interference of various noises in high-resolution images and accurately extract road information.
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页数：2
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