- 期刊
Improvement of LiDAR Data Accuracy Using 12 Parameter Affine Transformation
並列摘要
LiDAR data in a local coordinate system may need to be georeferenced and converted into a geographic or projected system. In coordinate transformation, the 7-parameter Helmet transformation method is usually used in measurements to eliminate the systematic errors made by a laser scanner. However, 7-parameter coordinate transformation assumes that there is only one scale error in all of the systematic errors. This study used 12 parameter affine transformation for coordinate transformation of airborne LiDAR data and terrestrial LiDAR data. The LiDAR data accuracy results upon 6-parameter similarity transformation, 7-parameter similarity transformation, and 12-parameter affine transformation were compared. The results showed that using 12-parameter affine transformation the airborne LiDAR and terrestrial LiDAR data have 2-3 times greater accuracy than do 7-parameter or 6-parameter transformations.
延伸閱讀
- 吳建廷（2013）。A Study on Influence Factors of the Terrestrial LiDAR Accuracy〔博士論文，國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2013.00021
- 吳歷韋、劉進金、徐偉城、鐘郁翔、陳慧鵬（2014）。A Comparison of Positioning Accuracy for Airborne LIDAR Data Solved by DGPS and PPP。航測及遙測學刊，19(1)，1-11。https://doi.org/10.6574/JPRS.2014.19(1).1
- 蔡宗倫、林祥曾、劉榮寬、李興緯（2008）。A Study of Correcting Airborne LiDAR Point Cloud Data Error by Using ICP Algorithm。測量工程，50(1&2)，37-51。https://doi.org/10.29983/JSE.200812.0003
- 黃俊軒（2015）。Feature Assessment in Object -Based Classification of Spectral and Lidar Features〔碩士論文，國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2015.00022
- 陳軍達（2017）。Development of Algorithms for High Accuracy Chaos Lidar〔碩士論文，國立清華大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0016-0401201816112594