ROAD NETWORK IDENTIFICATION AND EXTRACTION IN SATELLITE IMAGERY USING OTSU'S METHOD AND CONNECTED COMPONENT ANALYSIS

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Yadav, P.^1¹ 

[1] GIS Cell, Motilal Nehru National Institute of Technology, Allahabad-211004, U.P., India^1

关键词: Road identification;    road extraction;    Otsu's method;    connected component analysis;    morphological operations;   

DOI  :  10.5194/isprs-archives-XLII-5-91-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

As the high resolution satellite images have become easily available, this has motivated researchers for searching advanced methods for object detection and extraction from satellite images. Roads are important curvilinear object as they are a used in urban planning, emergency response, route planning etc. Automatic road detection from satellite images has now become an important topic in photogrammetry with the advances in remote sensing technology. In this paper, a method for road detection and extraction of satellite images has been introduced. This method uses the concept of histogram equalization, Otsu's method of image segmentation, connected component analysis and morphological operations. The aim of this paper is to discover the potential of high resolution satellite images for detecting and extracting the road network in a robust manner.

【 授权许可】

CC BY