東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

High-Resolution LiDAR Pointcloud Dat...

Potapenko, Ivan John.

FindBook

Google Book

Amazon

博客來

High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands./
作者:	Potapenko, Ivan John.
面頁冊數:	90 p.
附註:	Source: Masters Abstracts International, Volume: 54-04.
Contained By:	Masters Abstracts International54-04(E).
標題:	Geodesy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1586903
ISBN:	9781321696769

High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands.
Potapenko, Ivan John.

High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands. - 90 p.

Source: Masters Abstracts International, Volume: 54-04.

Thesis (M.A.)--University of California, Santa Barbara, 2014.

This item must not be sold to any third party vendors.

Light Detection And Ranging (LiDAR) pointcloud datasets provide immense opportunities for studying 3-D structures in high-resolution detail. The novelty of three- dimensional, heterogeneously spaced, massive datasets creates numerous computational challenges. In this work, we produce software and methods that build on newly released software libraries to process, compute, and visualize lidar pointcloud data. Our scripts streamline processing of raw lidar pointcloud data through various stages: filtering, classification, visualization, and computation of various topographic metrics (slope, aspect, curvature, etc). We demonstrate the value of computing topographic metrics at the pointcloud level over traditional raster-based approaches and apply our tools to calculate slopes and estimate erosion of the California Channel Islands.

ISBN: 9781321696769Subjects--Topical Terms:

550741
Geodesy.

High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands.
LDR:01971nmm a2200325 4500 001 2057095
005 20150630140238.5
008 170521s2014 ||||||||||||||||| ||eng d
020 $a 9781321696769
035 $a (MiAaPQ)AAI1586903
035 $a AAI1586903
040 $a MiAaPQ $c MiAaPQ
100 1 $a Potapenko, Ivan John. $3 3170904
245 1 0 $a High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands.
300 $a 90 p.
500 $a Source: Masters Abstracts International, Volume: 54-04.
500 $a Adviser: James Frew.
502 $a Thesis (M.A.)--University of California, Santa Barbara, 2014.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Light Detection And Ranging (LiDAR) pointcloud datasets provide immense opportunities for studying 3-D structures in high-resolution detail. The novelty of three- dimensional, heterogeneously spaced, massive datasets creates numerous computational challenges. In this work, we produce software and methods that build on newly released software libraries to process, compute, and visualize lidar pointcloud data. Our scripts streamline processing of raw lidar pointcloud data through various stages: filtering, classification, visualization, and computation of various topographic metrics (slope, aspect, curvature, etc). We demonstrate the value of computing topographic metrics at the pointcloud level over traditional raster-based approaches and apply our tools to calculate slopes and estimate erosion of the California Channel Islands.
590 $a School code: 0035.
650 4 $a Geodesy. $3 550741
650 4 $a Computer Science. $3 626642
650 4 $a Remote Sensing. $3 1018559
650 4 $a Physical Geography. $3 893400
690 $a 0370
690 $a 0984
690 $a 0799
690 $a 0368
710 2 $a University of California, Santa Barbara. $b Geography. $3 1025686
773 0 $t Masters Abstracts International $g 54-04(E).
790 $a 0035
791 $a M.A.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1586903