CAJ | 학술논문

研究了森林植被分割经典算法，为有效处理森林植被纹理尺度问题，提出了一种基于蓝噪声理论描述遥感图像森林植被纹理特征的森林植被分割方法。这是一种新的植被纹理刻画方法和纹理尺度计算方法，利用得到的纹理尺度设计特定的结构元进行数学形态学运算，提取森林植被信息，得到分割结果。实验结果验证了新方法的准确性和适应性。
연구료삼림식피분할경전산법，위유효처리삼림식피문리척도문제，제출료일충기우람조성이론묘술요감도상삼림식피문리특정적삼림식피분할방법。저시일충신적식피문리각화방법화문리척도계산방법，이용득도적문리척도설계특정적결구원진행수학형태학운산，제취삼림식피신식，득도분할결과。실험결과험증료신방법적준학성화괄응성。
This paper researches divided the forest vegetation classical algorithm, in order to effectively deal with the scale of forest vegetation texture problem, a description of the forest vegetation remote sensing image texture features based on the theory of forest vegetation blue noise segmentation method. This is a new method of vegetation texture characterization and texture scale calculation methods. It uses resulting texture to design specific structural element scale mathematical morphology operation , extract forest cover information, and obtain segmentation results. The experimental results verify the accuracy and adaptability of the new method.