CAJ | 학술논문

准确提取树冠信息在林业资源监测中具有重要意义。该文提出一种基于同态滤波处理的树冠信息提取方法，通过选取改进的基于高斯型高通滤波器的同态滤波函数作为传递函数，调整参数设置对高分辨率遥感影像进行同态滤波预处理；采用基于影像光谱阈值的传统分水岭算法对经同态滤波处理的高分辨率影像进行分割，并在影像光谱、形状以及纹理特征中选取6个特征构成的特征空间对树冠信息进行提取；最后对树冠信息提取结果进行定量评价。分析显示树冠信息提取总体精度为80．42％，Kappa 系数为0．7939。实验结果证明所提出方法可以有效地实现树冠的信息提取，能满足部分林地树冠信息提取的精度要求，为林业管理部门监测和决策提供依据。
준학제취수관신식재임업자원감측중구유중요의의。해문제출일충기우동태려파처리적수관신식제취방법，통과선취개진적기우고사형고통려파기적동태려파함수작위전체함수，조정삼수설치대고분변솔요감영상진행동태려파예처리；채용기우영상광보역치적전통분수령산법대경동태려파처리적고분변솔영상진행분할，병재영상광보、형상이급문리특정중선취6개특정구성적특정공간대수관신식진행제취；최후대수관신식제취결과진행정량평개。분석현시수관신식제취총체정도위80．42％，Kappa 계수위0．7939。실험결과증명소제출방법가이유효지실현수관적신식제취，능만족부분임지수관신식제취적정도요구，위임업관리부문감측화결책제공의거。
We proposed a new method for extracting tree-crown information from high-resolution remotely sensed imagery based on homomorphic filtering.A modified gaussian filter was selected as the homomorphic transfer function,and this filter was used to preprocess the panchromatic high resolution QuickBird satellite images by adjusting the parameters of the transfer function.In addition,the existing watershed transform based on spectral threshold method was used to segment the panchromatic image,which was processed by the homomorphic filtering.Then,the feature space consisting of spectrum,shape and texture features was selected to extract tree-crown information.Finally,240 random samples and an error matrix were applied to assess the accuracy of the extracted tree-crown information.Although confusion and error exist,this method showed promising results with an overall accuracy of 80.42% and a Kappa coefficient of 0.7939.Evaluation of the extraction results showed that the proposed method is effective in extracting tree-crown information from high spatial resolution remotely sensed imagery.