测绘与空间地理信息
測繪與空間地理信息
측회여공간지리신식
GEOMATICS & SPATIAL INFORMATION TECHNOLOGY
2015年
1期
37-40
,共4页
激光点云%数字表面模型%数字高程模型%可视域
激光點雲%數字錶麵模型%數字高程模型%可視域
격광점운%수자표면모형%수자고정모형%가시역
LiDAR points cloud%DSM%DEM%viewshed
当前GIS软件中通视分析建立在DEM数据基础上，而DEM中不含植被和建筑物信息，从而会造成通视分析误差。通过LiDAR点云数据获取高精度植被和建筑物高度，提出一种顾及地物的插值算法，生成同一网格大小的DEM与DSM，在其上分别进行通视域分析，并将分析结果进行对比，发现DEM比DSM更容易扩大视域范围，从而产生了分析误差，验证了利用DSM进行通视分析的可行性。
噹前GIS軟件中通視分析建立在DEM數據基礎上，而DEM中不含植被和建築物信息，從而會造成通視分析誤差。通過LiDAR點雲數據穫取高精度植被和建築物高度，提齣一種顧及地物的插值算法，生成同一網格大小的DEM與DSM，在其上分彆進行通視域分析，併將分析結果進行對比，髮現DEM比DSM更容易擴大視域範圍，從而產生瞭分析誤差，驗證瞭利用DSM進行通視分析的可行性。
당전GIS연건중통시분석건립재DEM수거기출상，이DEM중불함식피화건축물신식，종이회조성통시분석오차。통과LiDAR점운수거획취고정도식피화건축물고도，제출일충고급지물적삽치산법，생성동일망격대소적DEM여DSM，재기상분별진행통시역분석，병장분석결과진행대비，발현DEM비DSM경용역확대시역범위，종이산생료분석오차，험증료이용DSM진행통시분석적가행성。
Current GIS software all include the common function of viewshed analysis , but they all complete the analysis process basedon raster or TIN DEM data which are bare -earth elevation, not including any vegetation or building information .The analysis resultsgot through this kind of data have many errors .High resolution vegetation and building height data can be estimated by LiDAR pointscloud data.A kind of interpolation considering of surface features nearby is proposed to generate the same cellsize raster DSM andDEM grid.Viewshed centering on the same point on two kind of grid is calculated and displayed .The experiment shows that viewshedcan be improperly enlarged by DEM grid.Meantime, the feasibility of analyzing viewshed based on DSM grid is verified .
