A Spectral Unmixing-Based Method for Road Detection in Hyperspectral Images

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A Spectral Unmixing-Based Method for Road Detection in Hyperspectral Images

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- A Spectral Unmixing-Based Method for Road Detection in Hyperspectral Images
- Acta Electronica Sinica Vol. 38, Issue 2A, Pages: 50-54(2010)
- 作者机构：
  
  1. 1．北京航空航天大学计算机学院,北京,100083
  2. 北京遥感信息研究所,北京,100011
  3. 哈尔滨工业大学电信学院,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP722.5
- Published：2010
- 稿件说明：
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FONT face, Verdana, JI Yan, et al. A Spectral Unmixing-Based Method for Road Detection in Hyperspectral Images[J]. Acta Electronica Sinica, 2010, 38(2A): 50-54.
DOI：

FONT face, Verdana, JI Yan, et al. A Spectral Unmixing-Based Method for Road Detection in Hyperspectral Images[J]. Acta Electronica Sinica, 2010, 38(2A): 50-54. DOI：

摘要

<FONT face=Verdana>道路检测是遥感图像处理的一个重要任务，高光谱图像以其图谱合一的特点为道路检测提供了新的有用信源.针对遥感道路检测需求，本文提出一种利用高光谱图像进行道路检测的新方法.该方法首先利用线性混合物模型和独立分量分析技术对输入高光谱图像进行无监督解混，实现道路目标的光谱提取，得到描述道路目标的解混分量图.在此基础上，利用均值比例算子和Hough变换实现最终道路检测.仿真实验结果标明，本文提出的算法是有效的.

Abstract

<FONT face=Verdana>Road detection is an important task of remote sensing images processing.With the feature of combining picture and spectrum

hyperspectral images present new useful information resource for road detection.With the requirement of remote sensing road detection

a new method for road detection and extraction based on hypersp<FONT face=Verdana>ectral images is proposed.Firstly

independent component analysis and linear mixture model are used to unsupervised unmix the hyperspectral images

and the unmixed independent component including road information is obtained.Then

the road detection and extraction is achieved by means of ratio operator and Hough transform.The results from simulation experiments demonstrate the validity of the proposed method.

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