基于形态Snake模型的遥感影像的单木树冠检测算法

摘要/Abstract

摘要： 单木树冠检测可以辅助林业统计获取诸如树冠位置、冠幅、胸径等信息,对发展精准林业具有重大意义。针对单木树冠检测中树冠轮廓描绘不精确的问题,文中提出了一种基于形态Snake模型的遥感影像的单木树冠检测算法。该算法首先对林区特征进行了分析,然后使用局部极值法对林区特征图和距离变换图提取树冠顶点,最后根据树冠顶点为所有树冠初始化形态Snake模型轮廓,并迭代进行轮廓演变,得到最终的树冠轮廓。为了验证方法的有效性,对比分析了区域生长法、模板匹配法、分水岭法和所提出的形态Snake模型法。实验结果表明,所提方法的检测结果更准确,树冠轮廓更接近实际形状,与其他已有方法相比,整体检测得分提高了6%,面积平均差降低了0.5m²。

关键词: Snake模型, 单木树冠检测, 形态学, 遥感

Abstract: Single tree detection can assist forestry statistics in getting information such as position,width and diameter of the crowns,so it is of great significance for the development of precision forestry.In order to solve the problem of inaccurate canopy delineation in single-tree canopy detection,this paper proposed a single tree detection algorithm based on morphological Snake model for remote sensing images.Firstly,the forest features are analyzed.Then the local maximum method is used to extract treetops according to the forest feature map and the distance map.After this,the contour of Snake model is initialized for all crowns according to treetops,after evolution of the contour,the final detection result of individual trees is obtained.In order to verify the effectiveness of the method,this paper gave comparative analysis of the region growing method,template matching method,watershed method and the proposed morphological snake model method.The experimental results show that the proposed method is more accurate and the shape of the crown is more realistic.Compared with the other three methods,the detection score is 6% higher and the area average difference is reduced by 0.5m².

Key words: Morphology, Remote sensing, Single tree detection, Snake model

中图分类号:

TP391

董天阳, 周棋正. 基于形态Snake模型的遥感影像的单木树冠检测算法[J]. 计算机科学, 2018, 45(11A): 269-273. https://doi.org/

DONG Tian-yang, ZHOU Qi-zheng. Single Tree Detection in Remote Sensing Images Based on Morphological Snake Model[J]. Computer Science, 2018, 45(11A): 269-273. https://doi.org/

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