CAJ | 학술논문

沟壑密度是反映地表破碎程度的重要因子，在土壤侵蚀、地貌演变等研究中有重要作用。本文介绍基于数学形态学的沟壑密度提取算法，从TM影像中提取沟谷线信息，从而有效地解决了土壤侵蚀评价中下垫面表征因子提取问题。并以黄河流域某小流域沟壑密度的计算作了实例验证。
구학밀도시반영지표파쇄정도적중요인자，재토양침식、지모연변등연구중유중요작용。본문개소기우수학형태학적구학밀도제취산법，종TM영상중제취구곡선신식，종이유효지해결료토양침식평개중하점면표정인자제취문제。병이황하류역모소류역구학밀도적계산작료실례험증。
Ravine density, which is an important factor indicating the extent of the fragmentation of the Earth surface, plays a significant role in the research of soil erosion and landform evolution,etc. An algorithm for extracting the ravine density based on mathematical morphology, which extracts the channels and vales from TM images, is introduced to solve the issue of the extraction of token factors in the evaluation of soil erosion. And the method is verified in the calculation of ravine density in a small watershed of the Yellow River basin.