CAJ | 학술논문

针对泥石流冲毁区难以自动提取的问题，该文基于快鸟（QuickBird）高分辨率影像，探讨了泥石流冲毁区自动提取方法，提出一种多信息结合自动提取模型。该方法首先对原始反射率影像做缨帽变换，利用湿度分量和绿度分量的差得到初始泥石流冲毁区影像；其次利用阈值自动提取技术将疑似泥石流冲毁区区域与其他地物分离，得到泥石流冲毁区候选区域；最后提取出水体信息和植被稀少地区，对泥石流冲毁区候选区域进行掩膜运算，得到泥石流冲毁区，并对泥石流冲毁区中的小斑块做后处理，得到相对准确的泥石流冲毁区分布范围。实验结果表明，此泥石流冲毁区自动提取模型是可行和有效的，取得了较好的结果；但对小斑块泥石流提取的精度不高，需要加强研究。
침대니석류충훼구난이자동제취적문제，해문기우쾌조（QuickBird）고분변솔영상，탐토료니석류충훼구자동제취방법，제출일충다신식결합자동제취모형。해방법수선대원시반사솔영상주영모변환，이용습도분량화록도분량적차득도초시니석류충훼구영상；기차이용역치자동제취기술장의사니석류충훼구구역여기타지물분리，득도니석류충훼구후선구역；최후제취출수체신식화식피희소지구，대니석류충훼구후선구역진행엄막운산，득도니석류충훼구，병대니석류충훼구중적소반괴주후처리，득도상대준학적니석류충훼구분포범위。실험결과표명，차니석류충훼구자동제취모형시가행화유효적，취득료교호적결과；단대소반괴니석류제취적정도불고，수요가강연구。
Aiming at the automatic extraction problem of debris flow destroyed areas,this study discusses an automatic extraction method of debris flow destroyed area based on QuickBird high resolution remote sensing imagery,and proposes an automatic extraction model of multi-information combination.Firstly,use a tasseled cap transformation for the original reflectance images to calculate moisture component and greenness component,and then use the difference of them to get the initial debris flow destroyed area image;Secondly,use automatic extraction technology to get threshold for separating suspected debris flow destroyed image from other surface features,and then get candidate debris flow destroyed image;Finally,extract the water and sparse vegetation areas to perform mask operation on candidate debris flow destroyed image for getting debris flow destroyed area,and perform post-processing for small spots in the debris flow destroyed area to get relatively accurate debris flow destroyed area.The experimental results show that the proposed model is feasible and effective,and achieves good results;the extraction accuracy of small debris flow is not high,which needs to be strengthened.