Advances in Remote Sensing Extraction of Urban Roads

Liu Shujun,J Sun,Z Li,X Liu

doi:10.1051/e3sconf/202129002023

Abstract

As early as 1970s, the United States has begun the research of remote sensing image processing technology. In recent ten years, the research of road remote sensing extraction in China has also advanced by leaps and bounds. High resolution remote sensing images have been widely used in many fields, such as urban development planning, environmental monitoring and evaluation, and public announcement information services. The main application goal of remote sensing image is to extract the information of the object of interest, then identify it and complete the image understanding. Road is the most important and basic transportation mode of human beings, which provides a lot of support for the development of human civilization. road extraction is important for traffic management, including urban planning, road monitoring, GPS navigation, map updating, image registration, etc. extracting roads from high-resolution remote sensing satellite images is not only a challenging research direction, but also of great practical value.

Highlights

With the rapid development of remote sensing technology, we can obtain more image information more quickly, and how to deal with and interpret these massive image information quickly and accurately is an important problem
The rapid development of image processing technology makes it possible to extract the road based on remote sensing image automatically [1]
The remote sensing image is first denoised by filter, the road information is extracted by watershed algorithm, and some small spots are removed from the above operation

Summary

Introduction

With the rapid development of remote sensing technology, we can obtain more image information more quickly, and how to deal with and interpret these massive image information quickly and accurately is an important problem. As the skeleton of the city, the urban road is a very important basic geographic information. It plays an important role in the economic activities of the city. The rapid development of image processing technology makes it possible to extract the road based on remote sensing image automatically [1]

Geometric characteristics

Contextual features

Watershed Algorithm

Edge-based road extraction

Texture analysis