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Urban area road extraction from aeri...

Youn, Jun Hee.

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Urban area road extraction from aerial imagery and LIDAR.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Urban area road extraction from aerial imagery and LIDAR./
Author:	Youn, Jun Hee.
Description:	227 p.
Notes:	Adviser: James S. Bethel.
Contained By:	Dissertation Abstracts International67-10B.
Subject:	Engineering, Civil. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3239781
ISBN:	9780542947162

Urban area road extraction from aerial imagery and LIDAR.
Youn, Jun Hee.

Urban area road extraction from aerial imagery and LIDAR. - 227 p.

Adviser: James S. Bethel.

Thesis (Ph.D.)--Purdue University, 2006.

The primary subject of this thesis is an investigation into the automatic extraction of urban area roads from aerial imagery and LIDAR. Such extracted data becomes an essential component of a modern GIS system. In order to accomplish this, there is a preliminary study about the generation of a true orthophoto from aerial imagery and LIDAR height information. This is done in order to accurately fuse the data from multiple sensors and overcome the image displacements present in unrectified imagery. Next, the study area is subdivided or segmented based on homogeneity of the dominant road directions. Each region's road candidates are selected with a proposed free passage measure. This process is called the Acupuncture method. Features around the road candidates are used as key factors for an advanced Acupuncture method named the Region Based Acupuncture method. For refining the road candidates, building and grass area thematic maps are generated and used as a blocking mask for roads. Finally, A Ribbon Snake algorithm was designed and adapted to further refine road edges, whose initial information was provided by the prior result. Quantitative evaluations of detection performance and geometric accuracy are presented.

ISBN: 9780542947162Subjects--Topical Terms:

783781
Engineering, Civil.

Urban area road extraction from aerial imagery and LIDAR.
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020 $a 9780542947162
035 $a (UMI)AAI3239781
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100 1 $a Youn, Jun Hee. $3 1269267
245 1 0 $a Urban area road extraction from aerial imagery and LIDAR.
300 $a 227 p.
500 $a Adviser: James S. Bethel.
500 $a Source: Dissertation Abstracts International, Volume: 67-10, Section: B, page: 5927.
502 $a Thesis (Ph.D.)--Purdue University, 2006.
520 $a The primary subject of this thesis is an investigation into the automatic extraction of urban area roads from aerial imagery and LIDAR. Such extracted data becomes an essential component of a modern GIS system. In order to accomplish this, there is a preliminary study about the generation of a true orthophoto from aerial imagery and LIDAR height information. This is done in order to accurately fuse the data from multiple sensors and overcome the image displacements present in unrectified imagery. Next, the study area is subdivided or segmented based on homogeneity of the dominant road directions. Each region's road candidates are selected with a proposed free passage measure. This process is called the Acupuncture method. Features around the road candidates are used as key factors for an advanced Acupuncture method named the Region Based Acupuncture method. For refining the road candidates, building and grass area thematic maps are generated and used as a blocking mask for roads. Finally, A Ribbon Snake algorithm was designed and adapted to further refine road edges, whose initial information was provided by the prior result. Quantitative evaluations of detection performance and geometric accuracy are presented.
590 $a School code: 0183.
650 4 $a Engineering, Civil. $3 783781
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Physical Geography. $3 893400
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690 $a 0543
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710 2 $a Purdue University. $3 1017663
773 0 $t Dissertation Abstracts International $g 67-10B.
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790 1 0 $a Bethel, James S., $e advisor
791 $a Ph.D.
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3239781