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題名 VBS RTK GPS-assisted self-calibration bundle adjustment for aerial triangulation of fixed-wing uas images for updating topographic maps [Autocalibração de Cameras com uso de VBS RTK para fotogriangulação de Imagens UAS para atualização de mapas topográficos]
作者 邱式鴻
Chio, Shih Hong
貢獻者 地政系
日期 2016-12
上傳時間 15-Sep-2017 15:20:17 (UTC+8)
摘要 Unmanned Aircraft Systems (UASs) can collect high resolution and high quality images for local mapping. If the highly accurate GPS flying trajectory of a UAS is collected, it can support bundle adjustment aerial triangulation (AT) of UAS images and reduce the demands on ground control points (GCPs). This study installs a Trimble BD970 GNSS OEM on a fixed-wing UAS for capturing highly accurate GPS data by using a Virtual Base Station (VBS) RTK GPS technique for AT. Meanwhile, the GPS antenna-camera offset is resolved by stripwise linear drift parameters introduced in GPS observation equations, while performing bundle adjustment for AT. Additionally, self-calibration bundle adjustment is used in VBS RTK GPS-assisted AT to solve incomplete camera parameters calibrated by a close-range photogrammetric approach. The results show that the AT accuracy of fixed-wing UAS images collected with a 24 mm focal-length Canon EOS 5D Mark II camera at a flying height of 550 m above ground level is 0.21 m in planimetry and 0.22 m in height using two cross strips with two full GCPs at each corner of the block. The RMSE of check points from stereoscopic viewing can reach 0.27 m in planimetry and 0.24 m in height. The test results show that the accuracy of VBS RTK GPS-assisted bundle adjustment with self-calibration for the AT of fixed-wing UAS image can be used for updating local 1/5000 topographic maps in Taiwan.
關聯 Boletim de Ciencias Geodesicas, 22(4), 665-684
資料類型 article
DOI http://dx.doi.org/10.1590/S1982-21702016000400038
dc.contributor 地政系zh_TW
dc.creator (作者) 邱式鴻zh_TW
dc.creator (作者) Chio, Shih Hongen_US
dc.date (日期) 2016-12-
dc.date.accessioned 15-Sep-2017 15:20:17 (UTC+8)-
dc.date.available 15-Sep-2017 15:20:17 (UTC+8)-
dc.date.issued (上傳時間) 15-Sep-2017 15:20:17 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/113041-
dc.description.abstract (摘要) Unmanned Aircraft Systems (UASs) can collect high resolution and high quality images for local mapping. If the highly accurate GPS flying trajectory of a UAS is collected, it can support bundle adjustment aerial triangulation (AT) of UAS images and reduce the demands on ground control points (GCPs). This study installs a Trimble BD970 GNSS OEM on a fixed-wing UAS for capturing highly accurate GPS data by using a Virtual Base Station (VBS) RTK GPS technique for AT. Meanwhile, the GPS antenna-camera offset is resolved by stripwise linear drift parameters introduced in GPS observation equations, while performing bundle adjustment for AT. Additionally, self-calibration bundle adjustment is used in VBS RTK GPS-assisted AT to solve incomplete camera parameters calibrated by a close-range photogrammetric approach. The results show that the AT accuracy of fixed-wing UAS images collected with a 24 mm focal-length Canon EOS 5D Mark II camera at a flying height of 550 m above ground level is 0.21 m in planimetry and 0.22 m in height using two cross strips with two full GCPs at each corner of the block. The RMSE of check points from stereoscopic viewing can reach 0.27 m in planimetry and 0.24 m in height. The test results show that the accuracy of VBS RTK GPS-assisted bundle adjustment with self-calibration for the AT of fixed-wing UAS image can be used for updating local 1/5000 topographic maps in Taiwan.en_US
dc.format.extent 1014010 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Boletim de Ciencias Geodesicas, 22(4), 665-684en_US
dc.title (題名) VBS RTK GPS-assisted self-calibration bundle adjustment for aerial triangulation of fixed-wing uas images for updating topographic maps [Autocalibração de Cameras com uso de VBS RTK para fotogriangulação de Imagens UAS para atualização de mapas topográficos]en_US
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1590/S1982-21702016000400038-
dc.doi.uri (DOI) http://dx.doi.org/10.1590/S1982-21702016000400038-