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

Pattern recognition and feature extr...

Radermacher, Matthew Jeffery.

FindBook

Google Book

Amazon

博客來

Pattern recognition and feature extraction using lidar-derived elevation models in GIS: A comparison between visualization techniques and automated methods for identifying prehistoric ditch-fortified sites in North Dakota.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pattern recognition and feature extraction using lidar-derived elevation models in GIS: A comparison between visualization techniques and automated methods for identifying prehistoric ditch-fortified sites in North Dakota./
作者:	Radermacher, Matthew Jeffery.
面頁冊數:	135 p.
附註:	Source: Masters Abstracts International, Volume: 56-02.
Contained By:	Masters Abstracts International56-02(E).
標題:	Archaeology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10241631
ISBN:	9781369451955

Pattern recognition and feature extraction using lidar-derived elevation models in GIS: A comparison between visualization techniques and automated methods for identifying prehistoric ditch-fortified sites in North Dakota.
Radermacher, Matthew Jeffery.

Pattern recognition and feature extraction using lidar-derived elevation models in GIS: A comparison between visualization techniques and automated methods for identifying prehistoric ditch-fortified sites in North Dakota. - 135 p.

Source: Masters Abstracts International, Volume: 56-02.

Thesis (M.S.)--North Dakota State University, 2016.

As technologies advance in the fields of geology and computer science, new methods in remote sensing, including data acquisition and analyses, make it possible to accurately model diverse landscapes. Archaeological applications of these systems are becoming increasingly popular, especially in regards to site prospection and the geospatial analysis of cultural features. Different methodologies were used to identify fortified ditch features of anthropogenic origin using aerial lidar from known prehistoric sites in North Dakota. The results were compared in an attempt to develop a system aimed at detecting similar, unrecorded morphological features on the landscape. The successful development of this program will allow archaeological investigators to review topography and locate specific features on the surface that otherwise could be difficult to identify as a result of poor visibility in the field.

ISBN: 9781369451955Subjects--Topical Terms:

558412
Archaeology.

Pattern recognition and feature extraction using lidar-derived elevation models in GIS: A comparison between visualization techniques and automated methods for identifying prehistoric ditch-fortified sites in North Dakota.
LDR:01932nmm a2200289 4500 001 2079416
005 20170313112144.5
008 170521s2016 ||||||||||||||||| ||eng d
020 $a 9781369451955
035 $a (MiAaPQ)AAI10241631
035 $a AAI10241631
040 $a MiAaPQ $c MiAaPQ
100 1 $a Radermacher, Matthew Jeffery. $3 3195094
245 1 0 $a Pattern recognition and feature extraction using lidar-derived elevation models in GIS: A comparison between visualization techniques and automated methods for identifying prehistoric ditch-fortified sites in North Dakota.
300 $a 135 p.
500 $a Source: Masters Abstracts International, Volume: 56-02.
500 $a Adviser: Jeffrey T. Clark.
502 $a Thesis (M.S.)--North Dakota State University, 2016.
520 $a As technologies advance in the fields of geology and computer science, new methods in remote sensing, including data acquisition and analyses, make it possible to accurately model diverse landscapes. Archaeological applications of these systems are becoming increasingly popular, especially in regards to site prospection and the geospatial analysis of cultural features. Different methodologies were used to identify fortified ditch features of anthropogenic origin using aerial lidar from known prehistoric sites in North Dakota. The results were compared in an attempt to develop a system aimed at detecting similar, unrecorded morphological features on the landscape. The successful development of this program will allow archaeological investigators to review topography and locate specific features on the surface that otherwise could be difficult to identify as a result of poor visibility in the field.
590 $a School code: 0157.
650 4 $a Archaeology. $3 558412
650 4 $a Geographic information science and geodesy. $3 2122917
650 4 $a Native American studies. $3 2122730
690 $a 0324
690 $a 0370
690 $a 0740
710 2 $a North Dakota State University. $b Sociology and Anthropology. $3 3172429
773 0 $t Masters Abstracts International $g 56-02(E).
790 $a 0157
791 $a M.S.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10241631