测绘学报
測繪學報
측회학보
ACTA GEODAETICA ET CARTOGRAPHICA SINICA
2015年
1期
67-75
,共9页
王轲%王琤%张青峰%丁凯隆
王軻%王琤%張青峰%丁凱隆
왕가%왕쟁%장청봉%정개륭
黄土高原%高分辨率DEM%地形开度%正负地形%沟沿线
黃土高原%高分辨率DEM%地形開度%正負地形%溝沿線
황토고원%고분변솔DEM%지형개도%정부지형%구연선
loess pl ateau%high-resolution DEM%topographic openness%positive and negative terrain%loess shoulder line
鉴于地形正负开度对地貌的良好表达且具有分析尺度灵活性这一重要特性,本文提出一种借助地形正负开度及其差值图像阈值分割的黄土地貌沟沿线提取方法。首先,计算DEM的地形正负开度,对正负开度进行差值运算以得到开度差值图;然后,对开度差值图进行阈值处理以得到研究区正负地形空间分布特征;最后,借助数学形态学原理完成对二值化开度差值图正负地形边界———沟沿线的自动提取。试验采用高分辨率DEM数据对陕西洛川塬部分地区进行沟沿线信息提取。结果表明,与其他提取技术方法相比,该方法不仅增强了地貌基本形态特征在沟沿线提取过程中的作用与影响,同时也在一定程度上实现了沟沿线提取的精确化和自动化。
鑒于地形正負開度對地貌的良好錶達且具有分析呎度靈活性這一重要特性,本文提齣一種藉助地形正負開度及其差值圖像閾值分割的黃土地貌溝沿線提取方法。首先,計算DEM的地形正負開度,對正負開度進行差值運算以得到開度差值圖;然後,對開度差值圖進行閾值處理以得到研究區正負地形空間分佈特徵;最後,藉助數學形態學原理完成對二值化開度差值圖正負地形邊界———溝沿線的自動提取。試驗採用高分辨率DEM數據對陝西洛川塬部分地區進行溝沿線信息提取。結果錶明,與其他提取技術方法相比,該方法不僅增彊瞭地貌基本形態特徵在溝沿線提取過程中的作用與影響,同時也在一定程度上實現瞭溝沿線提取的精確化和自動化。
감우지형정부개도대지모적량호표체차구유분석척도령활성저일중요특성,본문제출일충차조지형정부개도급기차치도상역치분할적황토지모구연선제취방법。수선,계산DEM적지형정부개도,대정부개도진행차치운산이득도개도차치도;연후,대개도차치도진행역치처리이득도연구구정부지형공간분포특정;최후,차조수학형태학원리완성대이치화개도차치도정부지형변계———구연선적자동제취。시험채용고분변솔DEM수거대협서락천원부분지구진행구연선신식제취。결과표명,여기타제취기술방법상비,해방법불부증강료지모기본형태특정재구연선제취과정중적작용여영향,동시야재일정정도상실현료구연선제취적정학화화자동화。
This paper presents a new method of loess shoulder line extraction with openness and threshold segmentation .Openness is an angular measurement of the relationship between surface relief and horizontal distance which can be derived from DEM .As it has the outstanding ability of expressing the positive and negative terrain characteristics and the attribute of“analysis‐scale flexibility”,in this study , we developed the idea of loess shoulder line extraction based on the difference of positive and negative openness images and threshould segmentation .Firstly ,we calcul ated the positive and negative openness of our study area based on DEM .Then ,a difference image was generated by the subtraction of positive and negative openness images .Afer that ,it was processed by a threshold segmentation method ,and we analyzed some important spatial distribution characteristics of positive and negative terrain in study area . Finally ,we extracted the shoulder lines semi‐automatically by an edge‐detection method which came from the concept of morphology .Our study area locates in Louchuan ,Shaanxi province , a typical hilly gully region in northwstern China .Considering the effect of the local window size on analysis accuracy and the match of the fitness surface and DEM terrain surface,wechosea5m×5mhigh‐resolution DEM of Luochuan which was purchased from Shaanxi Administration of Surveying ,Mapping and Geoinformation .The result manifested that our method enhanced and guaranteed the accuracy ofthe basic geomorphological characters of study area .