基于激光雷达图像分析的植被退化特征提取  

Vegetation Degradation Feature Extraction Based on the Analysis of the Laser Radar Image

作　　者：肖静[1] 

机构地区：[1]武汉城市职业学院,武汉430064

出　　处：《激光杂志》2016年第7期50-53,共4页Laser Journal

基　　金：2013年武汉市产学研课题(2013whcxy16)

摘　　要：针对植被退化特征提取一直存在不准确,提取误差大的问题。传统的特征提取方法,主要通过分析植被退化的原因,及植被图像特征分析相结合,提取植被退化特征,导致当特征不明确或不显著时,无法准确的提取植被退化特征。提出基于激光雷达图像分析的植被退化特征提取方法,分析激光雷达图像采集原理,以此为基础,采用激光雷达技术采集植被图像,并对图像噪声特性进行分析,采用Frost滤波法对激光雷达图像散斑噪声进行滤除,通过轮廓分析法,提取植被退化特征。实验结果证明,采用改进的方法进行植被退化特征提取,相比传统的提取方法其准确度较高,具有一定的实用性。For the inaccurate feature extraction of vegetation degeneration. The traditional feature extraction methods, mainly through the analysis of the causes of vegetation degeneration, and the characteristics analysis of vegetation image, to extract the characteristics of vegetation degeneration, cause when features are not clear or unable to accurately extract the vegetation degradation characteristics. Based on laser radar image analysis of the vegetation degradation feature extraction methods, analysis of mechanism of laser radar image acquisition, on this basis, using the lidar technology to acquire vegetation images, and analyze the characteristics of image noise, the Frost filtering method is adopted for laser radar image speckle noise filtering, by contour analysis, extract the vegetation degradation characteristics. The experimental results show that with the improved method for feature extraction of vegetation degeneration, compared with the traditional extraction method, the accuracy is higher, has certain practicality.

关 键 词：激光雷达图像分析 植被退化 特征提取 散斑噪声 

分 类 号：TN249[电子电信—物理电子学]