政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/138690

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | 全文筆數/總筆數 : 113961/144987 (79%)
造訪人次 : 51999890 線上人數 : 577

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

政大機構典藏 > 社會科學學院 > 地政學系 > 期刊論文 > Item 140.119/138690

請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/138690

題名:	Airborne lidar planar roof point extraction using least-squares fitting supervised by a posteriori variance estimation
作者:	邱式鴻 Chio, Shih-Hong Chan, Li-Cheng
貢獻者:	地政系
日期:	2021-09
上傳時間:	2022-01-06 16:24:26 (UTC+8)
摘要:	The least-squares fitting method can be used for planar roof point extraction from airborne lidar points; however, it cannot avoid the impact of non-planar roof points (blunders) due to lack of robustness. Therefore, this study has developed a least-squares plane fitting based on a posteriori variance estimation, as proposed by Li in 1983, to reduce the weights of non-planar roof points. Additionally, least absolute deviation (LAD) was integrated into the first step of this improved Li method, to increase blunder detection. For simulated data, the proposed approach increased the blunder detection rate by up to 6% compared to the original Li method. Test results with real data showed that the proposed approach demonstrated robustness, applicability and effectiveness.
關聯:	The Photogrammetric Record, Vol.36, No.175, pp.303-327
資料類型:	article
DOI 連結:	http://doi.org/10.1111/phor.12382
DOI:	10.1111/phor.12382
顯示於類別:	[地政學系] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
147.pdf		3305Kb	Adobe PDF2	269	檢視/開啟

在政大典藏中所有的資料項目都受到原著作權保護.

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

資料載入中.....