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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。
There are always some problems in extracting vegetation degradation features, such as inaccuracy and large extraction error. The traditional method of feature extraction can extract the characteristics of vegetation degradation mainly by analyzing the causes of vegetation degradation and the analysis of vegetation image features. As a result, the features of vegetation degradation can not be accurately extracted when the features are not clear or insignificant. A vegetation degradation feature extraction method based on lidar image analysis is proposed. The principle of laser radar image acquisition is analyzed. Based on this, the vegetation image is acquired by laser radar, and the image noise characteristics are analyzed. Frost filtering The speckle noise is filtered out, and the degenerative characteristics of vegetation are extracted by the contour analysis method. The experimental results show that the improved method is more practicable than the traditional method to extract vegetation degradation features.