测绘通报 ›› 2017, Vol. 0 ›› Issue (8): 45-49.doi: 10.13474/j.cnki.11-2246.2017.0252

• 学术研究 • 上一篇    下一篇

基于对比度增强和形态学的遥感影像道路提取

杨孝翠1, 孟万利2   

  1. 1. 信息工程大学, 河南 郑州 450001;
    2. 河南理工大学, 河南 焦作 454000
  • 收稿日期:2016-11-22 修回日期:2017-01-26 出版日期:2017-08-25 发布日期:2017-08-29
  • 作者简介:杨孝翠(1993-),女,硕士生,主要研究方向为摄影测量与遥感。E-mail:1361420477@qq.com
  • 基金资助:
    国家自然科学基金(41271391)

Road Extraction of Remote Sensing Image Based on Contrast Enhancement and Morphology

YANG Xiaocui1, MENG Wanli2   

  1. 1. Information Engineering University, Zhengzhou 450001, China;
    2. Henan Polytechnic University, Jiaozuo 454000, China
  • Received:2016-11-22 Revised:2017-01-26 Online:2017-08-25 Published:2017-08-29

摘要: 提出了一种基于对比度增强和形态学的遥感影像道路边界与特征点提取的方法。先对遥感影像进行对比度变换增强,通过对比分析直方图均衡化和对比度分段线性增强两种方法获取的增强影像,选取区分度大的分段线性增强方法进行影像增强,然后运用数学形态法进行影像分割,实现道路和其他图像信息的有效分离。利用Krisch算子进行边缘检测提取道路的边缘信息,并基于边缘特征利用改进的Harris算子提取特征点,将提取的特征点进行拟合并用函数模型描述图像道路信息,用于后期制图中道路信息的矢量化。

关键词: 对比度增强, 数学形态学, 边缘检测, 特征点提取, 曲线拟合

Abstract: A method of road boundary and feature point extraction for remote sensing image was proposed based on contrast enhancement and morphology. Firstly, it carries on contrast enhancement of remote sensing image. Piecewise linear enhancement method with larger discriminative power was selected to do image enhancement after comparative analysis difference between histogram equalization and contrast piecewise linear enhancement. In order to realize the separation of road and other information effectively, image segmentation was done using mathematical morphological method. Then, using edge detection method by Krisch operator to extract road edge information, and feature points extracted by improved Harris operator based on edge feature. Last, fitted the extracted feature points and the function model was used to describe the road information of the image and applied to vector road information in the later period of drawing.

Key words: contrast enhancement, mathematical morphological method, edge detection, feature point extraction, curve fitting

中图分类号: