一种基于光谱解混的高光谱图像道路检测方法

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

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.

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 tmnote sens- ing road detection,a new method for mad detection and extraction based on hyperspectral images is proposed. Firstly,independent component analysis and linear mixture model are used to unsupervised unrnix the hyperspectral images, and the unmixed independent component including road information is obtained. Then, the road detection and exlraction is achieved by means of ratio operator and Hough transform. The results from simulation experiments demonstrate the validity of the proposed method.