Georeferencing oblique PhenoCam imagery
Georeferencing oblique PhenoCam imagery
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地理配准倾斜 PhenoCam 图像
DOI：
10.1016/j.isprsjprs.2022.05.012
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发表时间：
2022
影响因子：
12.7
通讯作者：
Richardson, Andrew D
中科院分区：
文献类型：
--
作者：
Kaddoura, Youssef O;Wilkinson, Benjamin;Merrick, Trina;Barnes, Grenville;Duffy, Katharyn;Broadbent, Eben;Abd-Elrahman, Amr;Binford, Michael;Richardson, Andrew D
安装在塔式PhenoCam上的生态系统数据的高时间和空间分辨率使这些仪器成为物候研究的基本工具，并将它们定位为生态学研究中介于空中或空间和现场数据之间的关键中间步骤。然而，增加空间精度可以进一步扩大PhenoCam网络的应用，吸引更多的用户，例如吸引更多的物候学家进入近地表遥感研究领域。在这项研究中，建立了一种地理参考方法来增强PhenoCam的研究基础设施。先进的摄影测量技术被应用于相机视野，以使所有像素具有地理功能，将它们与它们在地球上的位置联系起来，除了当前的“感兴趣区域”(ROI)水平数据之外，还向数据集添加了更多有用的信息。给出了能够从物体空间坐标(3D)到图像空间坐标(2D)的地理配准方法和摄影测量方程。该方法在位于美国佛罗里达州梅尔罗斯的Ordway Swisher生物站(OSBS)的PhenoCam数据上进行了测试和演示。统计和灵敏度分析表明，对于所给出的案例研究，投影像素位置的精度可以达到1.5像素RMSE，对应于100微米、200微米和300微米距离的对象空间精度分别为10厘米、20厘米和30厘米。此外，OSBS的地理定位的PhenoCam数据与中等成像光谱仪(MODIS)的数据被放在一起并进行了表征。这些结果表明，提出的技术可靠地提供了来自PhenoCam的额外数据，这些数据对生态系统水平的研究是有用的。通过有效地提供每个像素与其在现实世界中的位置相对应的绝对位置，该研究为OSBS的PhenoCam的每一次物候观测引入了更高的空间精度。这种可重复步骤和分析的介绍便于其他PhenoCam数据以及其他倾斜安装的相机的实施。
The high temporal and spatial resolution of ecosystem data captured by tower-mounted PhenoCams have established these instruments as fundamental tools in phenological studies and positioned them as a critical mid-step between airborne or spaceborne andin-situdata in ecological research. However, adding spatial precision can further expand PhenoCam network applications and attract more users, such as drawing more phenological scientists to the near-surface remote sensing research field. In this study, a georeferencing approach was established to enhance research infrastructure for PhenoCams. Advanced photogrammetric techniques were applied to the camera field of view to geo-enable all pixels, tying them to their location on Earth and adding more usable information to datasets in addition to the current “region of interest” (ROI) level data. The georeferencing method is presented along with the photogrammetric equations that enable going from object space coordinates (3D) to image space coordinates (2D). This method was tested and demonstrated on PhenoCam data at Ordway Swisher Biological Station (OSBS), located in Melrose, Florida, USA. Statistical and sensitivity analyses show that projected pixel-location can be as accurate as 1.5 pixels RMSE for the presented case study, corresponding to object space accuracy of 10 cm, 20 cm, and 30 cm at distances of 100 m, 200 m, and 300 m, respectively. In addition, geo-located PhenoCam data at OSBS was co-located with Moderate Imaging Spectrometer (MODIS) data and characterized. These results demonstrate that the techniques presented reliably provide additional data from PhenoCams that are useful for ecosystem-level studies. By providing each pixel’s absolute location corresponding to its place in the real world efficiently, this research introduces a higher degree of spatial precision to every phenological observation from the PhenoCam at OSBS. This presentation of reproducible steps and analysis facilitates implementation for other PhenoCam data as well as other obliquely mounted cameras.
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DOI：
10.1002/9781119390664
发表时间：
2006-06
期刊：
--
影响因子：
--
作者：
C. Ghilani
通讯作者：
C. Ghilani
内湾海滩上的裂隙间距和持久性
影响因子：
--
作者：
R. Holman;G. Symonds;E. Thornton;R. Ranasinghe
通讯作者：
R. Ranasinghe
影响因子：
5
作者：
Wilkinson, Benjamin;Lassiter, H. Andrew;Grimes, Nathan
通讯作者：
Grimes, Nathan
Surfcam 在线流媒体图像在海岸形态动力学研究中的实际应用
DOI：
10.3390/rs11010078
发表时间：
2019
期刊：
Remote. Sens.
影响因子：
--
作者：
U. Andriolo;E. Sánchez;R. Taborda
通讯作者：
R. Taborda
影响因子：
2.8
作者：
R. Holman;A. Sallenger;T. Lippmann;J. Haines
通讯作者：
R. Holman;A. Sallenger;T. Lippmann;J. Haines