Bathymetric Photogrammetry to Update CHS Charts: Comparing Conventional 3D Manual and Automatic Approaches

被引:10
|
作者
Chenier, Rene [1 ]
Faucher, Marc-Andre [1 ]
Ahola, Ryan [1 ]
Shelat, Yask [1 ]
Sagram, Mesha [1 ]
机构
[1] Canadian Hydrog Serv, 200 Kent St, Ottawa, ON K1A 0E6, Canada
来源
关键词
satellite derived bathymetry (SDB); stereo photogrammetry; Canadian Hydrographic Service; navigational charts; Canadian Arctic; WATER DEPTH; GEOPOSITIONING ACCURACY; MUTUAL INFORMATION; IMAGERY; GEOMETRY; IKONOS;
D O I
10.3390/ijgi7100395
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Canadian Hydrographic Service (CHS) supports safe navigation within Canadian waters through approximately 1000 navigational charts as well as hundreds of publications. One of the greatest challenges faced by the CHS is removing gaps in bathymetric survey data, particularly in the Canadian Arctic where only 6% of navigational water is surveyed to modern standards. Therefore, the CHS has initiated a research project to explore remote sensing methods to improve Canadian navigational charts. The major components of this project explore satellite derived bathymetry (SDB), coastline change detection and coastline extraction. This paper focuses on the potential of two stereo satellite techniques for deriving SDB: (i) automatic digital elevation model (DEM) extraction using a semi-global matching method, and (ii) 3D manual delineation of depth contours using visual stereoscopic interpretation. Analysis focused on quantitative assessment which compared estimated depths from both automatic and 3D manual photogrammetric approaches against available in situ survey depths. The results indicate that the 3D manual approach provides an accuracy of <2 m up to a depth of 15 m. Comparable results were obtained from the automatic approach to a depth of 12 m. For almost all investigated depth ranges for both techniques, uncertainties were found to be within the required vertical accuracies for the International Hydrographic Organization category zone of confidence (CATZOC) level C classification for hydrographic surveys. This indicates that both techniques can be used to derive navigational quality bathymetric information within the investigated study site. While encouraging, neither technique was found to offer a single solution for the complete estimation of depth within the study area. As a result of these findings, the CHS envisions a hybrid approach where stereo- and reflectance-based bathymetry estimation techniques are implemented to provide the greatest understanding of depth possible from satellite imagery. Overall, stereo photogrammetry techniques will likely allow for new potential for supporting the improvement of CHS charts in areas where modern surveys have not yet been obtained.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Comparing DBMS-based approaches for representing 3D building objects
    Kim, Hyeyoung
    Kim, Geunhan
    Jun, Chulmin
    Yi, Hyunjin
    2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, 2009, : 1429 - 1434
  • [22] Comparing hoof dimensional measurements in cows based on 3D image creation and manual measurement
    Murakami, Takashi
    Ohtake, Ayaka
    Ishikawa, Takaaki
    Sato, Ayano
    VETERINARY JOURNAL, 2024, 306
  • [23] Evaluation of accuracy of photogrammetry with 3D scanning and conventional impression method for craniomaxillofacial defects using a software analysis
    Arushi Beri
    Sweta Kale Pisulkar
    Ashutosh D. Bagde
    Akansha Bansod
    Chinmayee Dahihandekar
    Balaji Paikrao
    Trials, 23
  • [24] Comparing the Use of 3D Photogrammetry and Computed Tomography in Assessing the Severity of Single-Suture Nonsyndromic Craniosynostosis
    Ho, Olivia A.
    Saber, Nikoo
    Stephens, Derek
    Clausen, April
    Drake, James
    Forrest, Christopher
    Phillips, John
    PLASTIC SURGERY, 2017, 25 (02) : 78 - 83
  • [25] Evaluation of accuracy of photogrammetry with 3D scanning and conventional impression method for craniomaxillofacial defects using a software analysis
    Beri, Arushi
    Pisulkar, Sweta Kale
    Bagde, Ashutosh D.
    Bansod, Akansha
    Dahihandekar, Chinmayee
    Paikrao, Balaji
    TRIALS, 2022, 23 (01)
  • [26] MANUAL AND AUTOMATIC 3D SEGMENTATION OF THE PUBIC PART OF THE LEVATOR ANI MUSCLE IN ULTRASOUND IMAGES
    Van den Noort, F.
    Grob, A. T.
    Van Stralen, M.
    Slump, C. H.
    Van der Vaart, C.
    INTERNATIONAL UROGYNECOLOGY JOURNAL, 2017, 28 : S149 - S150
  • [27] Toward low-cost 3D automatic pavement distress surveying: the close range photogrammetry approach
    Ahmed, Mahmoud
    Haas, C. T.
    Haas, Ralph
    CANADIAN JOURNAL OF CIVIL ENGINEERING, 2011, 38 (12) : 1301 - 1313
  • [28] Automatic 3D digitalization with laser scanner, photogrammetry and videogrammetry. The practical case of the Temple of Diana (Merida)
    Coder, Pedro Ortiz
    del Pino Espinosa, Beatriz
    VIRTUAL ARCHAEOLOGY REVIEW, 2013, 4 (08): : 90 - 94
  • [29] Comparing LiDAR and IMU-based SLAM approaches for 3D robotic mapping
    Fasiolo, Diego Tiozzo
    Scalera, Lorenzo
    Maset, Eleonora
    ROBOTICA, 2023, 41 (09) : 2588 - 2604
  • [30] Local recurrence and survival in acral lentiginous melanoma comparing 3D histology and conventional histology
    Schulz, Claudia
    Haefner, Hans-Martin
    Breuninger, Helmut
    Leiter, Ulrike
    JOURNAL DER DEUTSCHEN DERMATOLOGISCHEN GESELLSCHAFT, 2014, 12 (10): : 881 - 890