請用此 Handle URI 來引用此文件：
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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 韓仁毓(Jen-Yu Han) | |
| dc.contributor.author | Chun-Jia Huang | en |
| dc.contributor.author | 黃春嘉 | zh_TW |
| dc.date.accessioned | 2023-03-19T23:39:43Z | - |
| dc.date.copyright | 2022-09-06 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-09-06 | |
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Journal of Geodesy, 71(9), 552-561. 內政部Ministry of the Interior，2014，103年臺灣地區大地起伏模型成果說明，URL：https://www.hlmrs.hlc.edu.tw/30/813/news/45/2014-6/2014-6-20-8-53-25-nf1.pdf | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86160 | - |
| dc.description.abstract | 由於測量、建設、製圖等方面的需求不斷增加，並隨著城市的快速發展，目前空間資訊的趨勢已從早期的二維資訊轉變為三維資訊。如何確定高程基準是相當重要的一項議題。在現代測量中，大地起伏扮演著重要角色，能將GNSS獲得的橢球高轉換為工程應用的正高。因此，建構高精度的大地起伏模型則至關重要。在本研究中，提出了一種自適應法應用於提升區域大地起伏模型，包含重力法大地起伏模型以及EGM2008大地起伏模型。該演算法在大地起伏趨勢估計的過程中，能自動選擇最適應的候選點，識別出屬於同一簇(cluster)的點，並能有效剔除不適合的點。此外，嚴格的序列式最小二乘法結合可調整之門檻值用於識別適合的觀測量，以便能自動生成優化模型以滿足使用者預設之精度品質。依據數值驗證成果，本研究方法可用於獲得精度在±14 mm/√km左右的城市尺度(25平方公里)之大地起伏模型。在一般工程應用中，應用大地起伏模型於GNSS之高程轉換，能有效率且較經濟地獲取高精度之正高。 | zh_TW |
| dc.description.abstract | Due to the increasing demand in surveying, construction, and mapping, with the rapid development of the city, the current trend in spatial information has changed from the earlier two-dimensional information to three-dimensional information. How to determine the height datum is quite important. In modern surveying, geoid undulation plays an important role in converting the ellipsoidal height obtained by GNSS into the orthometric height for engineering applications. Therefore, an accurate geoid undulation model for Taiwan has become paramount. In this study, an adaptive approach algorithm for improving the regional geoid undulation model based on the gravimetric geoid model and EGM2008 geoid is presented. The algorithm automatically selects the most adaptive candidate points in the process of geodetic level undulation trend estimation, identifies the points belonging to the same cluster, and effectively eliminates unsuitable points. Furthermore, a rigorous sequential least square combined with tunable criteria are used to identify appropriate observables so that optimized models can be automatically generated to satisfy the level of quality predefined by the user. Finally, based on the numerical validation, the proposed approach can be applied to obtain the urban-scale (25 square kilometers) geoid undulation model with a quality level around ± 14 mm/√km. The high accuracy orthometric heights can be efficiently and economically achieved in general engineering applications using GNSS in combination with the geoid undulation model. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T23:39:43Z (GMT). No. of bitstreams: 1 U0001-3108202211155900.pdf: 5520896 bytes, checksum: 50befd0ba682483353acf6e9ec365fca (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 論文口試委員審定書 i 致謝 ii 中文摘要 iii Abstract iv Chapter 1 Introduction 1 1.1 Overview 1 1.2 Motivation and purpose 4 1.3 Thesis outline 5 Chapter 2 Literature Review 7 2.1 Current approach for establishing geoid model 7 2.2 Examples of geoid undulation models 15 2.3 Summary 19 Chapter 3 Methodology 21 3.1 Initial geoid model by gravimetric approach 22 3.2 Initial geoid model by GGM approach 25 3.3 Initial geoid model by geometric approach 28 3.4 Optimizing the geoid model by the adaptive approach 29 3.4.1 Improved initial geoid undulation model by hybrid approach 30 3.4.2 Seed point selection for the positioning model 33 3.4.3 Surface curve fitting technique for predicting model trends 34 3.4.4 Sequential least squares technique 35 3.4.5 Observations selection by statistical indicators 38 3.4.6 Convergence condition and exception case 41 3.4.7 Statistical tests for parameter significance of criteria 41 3.5 Initial geoid model calibrated by adaptive approach model 42 3.6 Quality assessment 44 Chapter 4 Numerical Analysis 46 4.1 Study area 46 4.2 Research data 47 4.3 Evaluation of the initial geoid undulation models 50 4.4 Geoid undulation model from the proposed approach 57 4.4.1 Case 1 - Mountain area 57 4.4.2 Case 2 - Plain area 61 4.5 Quality assessment 69 4.5.1 Absolute height difference assessment 69 4.5.2 Relative height difference assessment 75 4.6 Field validation 80 4.6.1 Case 1-Taipei City 80 4.6.2 Case 2-Taichung City 81 4.7 Comparison of different approaches for improving geoid model 83 4.8 Online height transformation 87 4.9 Discussion 88 Chapter 5 Conclusion and future work 94 5.1 Conclusion 94 5.2 Future work 96 References 98 | |
| dc.language.iso | en | |
| dc.subject | 序列式最小二乘法 | zh_TW |
| dc.subject | 自適應法 | zh_TW |
| dc.subject | 大地起伏模型 | zh_TW |
| dc.subject | 高程基準 | zh_TW |
| dc.subject | 全球重力場模型2008 | zh_TW |
| dc.subject | EGM2008 | en |
| dc.subject | Adaptive approach | en |
| dc.subject | Geoid undulation model | en |
| dc.subject | Height datum | en |
| dc.subject | Sequential least squares | en |
| dc.title | 以自適應法優化大地起伏模型於工程上之應用 | zh_TW |
| dc.title | Optimizing Regional Geoid Undulation Model for Engineering Applications using Adaptive Approach | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.author-orcid | 0000-0001-9589-362X | |
| dc.contributor.oralexamcommittee | 趙鍵哲 (Jen-Jer Jaw),高書屏(Su-Ping Kao),甯方璽(Fang-Shii Ning),曾國欣(Kuo-Hsin Tseng) | |
| dc.subject.keyword | 自適應法,大地起伏模型,高程基準,全球重力場模型2008,序列式最小二乘法, | zh_TW |
| dc.subject.keyword | Adaptive approach,Geoid undulation model,Height datum,EGM2008,Sequential least squares, | en |
| dc.relation.page | 112 | |
| dc.identifier.doi | 10.6342/NTU202203005 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2022-09-06 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| dc.date.embargo-lift | 2022-09-06 | - |
| 顯示於系所單位： | 土木工程學系 | |
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