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A hybrid model for DTM generation fr...

Lee, Hyun Seung.

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A hybrid model for DTM generation from LIDAR data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A hybrid model for DTM generation from LIDAR data./
作者:	Lee, Hyun Seung.
面頁冊數:	102 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-10, Section: B, page: 5310.
Contained By:	Dissertation Abstracts International65-10B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3151544
ISBN:	0496115057

A hybrid model for DTM generation from LIDAR data.
Lee, Hyun Seung.

A hybrid model for DTM generation from LIDAR data. - 102 p.

Source: Dissertation Abstracts International, Volume: 65-10, Section: B, page: 5310.

Thesis (Ph.D.)--Mississippi State University, 2004.

This dissertation introduces an innovative technique to extract ground elevation models using small-footprint LIDAR data. This technique consists of a preprocessing step, ground modeling, and interpolation. In the preprocessing step, much of the non-terrain points are eliminated using a histogram-based clustering technique. Then, in the ground modeling stage, the information such as elevation and slope between nearest neighbor points is extracted. This step corresponds to an outlier detection process. In this stage, residuals and gradient indices for elevation and slope, are introduced. These indices are investigated for a constructed 95% confidence interval to discard the remaining non-terrain points. Finally, using spline interpolation, a smooth ground surface is generated. Simulation results show a significant improvement over existing techniques. Furthermore, the possibility of using a ground trend model developed from specific tree height measurements is investigated. For this analysis, a statistical regression analysis model is used. Performing this analysis, a 0.63 R-squared value is obtained. This result indicates that the LIDAR ground surface obtained from the presented algorithm is related to the true ground surface.

ISBN: 0496115057Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

A hybrid model for DTM generation from LIDAR data.
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245 1 2 $a A hybrid model for DTM generation from LIDAR data.
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500 $a Source: Dissertation Abstracts International, Volume: 65-10, Section: B, page: 5310.
500 $a Major Professor: Nicholas H. Younan.
502 $a Thesis (Ph.D.)--Mississippi State University, 2004.
520 $a This dissertation introduces an innovative technique to extract ground elevation models using small-footprint LIDAR data. This technique consists of a preprocessing step, ground modeling, and interpolation. In the preprocessing step, much of the non-terrain points are eliminated using a histogram-based clustering technique. Then, in the ground modeling stage, the information such as elevation and slope between nearest neighbor points is extracted. This step corresponds to an outlier detection process. In this stage, residuals and gradient indices for elevation and slope, are introduced. These indices are investigated for a constructed 95% confidence interval to discard the remaining non-terrain points. Finally, using spline interpolation, a smooth ground surface is generated. Simulation results show a significant improvement over existing techniques. Furthermore, the possibility of using a ground trend model developed from specific tree height measurements is investigated. For this analysis, a statistical regression analysis model is used. Performing this analysis, a 0.63 R-squared value is obtained. This result indicates that the LIDAR ground surface obtained from the presented algorithm is related to the true ground surface.
590 $a School code: 0132.
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