JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Investigating Applicability of Unmanned Aerial Vehicle to the Tidal Flat Zone
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Korean Journal of Remote Sensing
  • Volume 31, Issue 5,  2015, pp.461-471
  • Publisher : The Korean Society of Remote Sensing
  • DOI : 10.7780/kjrs.2015.31.5.10
 Title & Authors
Investigating Applicability of Unmanned Aerial Vehicle to the Tidal Flat Zone
Kim, Bum-Jun; Lee, Yoon-Kyung; Choi, Jong-Kuk;
  PDF(new window)
 Abstract
In this study, we generated orthoimages and Digital Elevation Model (DEM) from Unmanned Aerial Vehicle (UAV) to confirm the accuracy of possibility of geospatial information system generation, then compared the DEM with the topographic height values measured from Real Time Kinematic-GPS (RTK-GPS). The DEMs were generated from aerial triangulation method using fixed-wing UAV and rotary-wing UAV, and DEM based on the waterline method also generated. For the accurate generation of mosaic images and DEM, the distorted images occurred by interior and exterior orientation were corrected using camera calibration. In addition, we set up the 30 Ground Control Points (GPCs) in order to correct of the UAVs position error. Therefore, the mosaic images and DEM were obtained with geometric error less than 30 cm. The height of generated DEMs by UAVs were compared with the levelled elevation by RTK-GPS. The value of R-square is closely 1. From this study, we could confirm that accurate DEM of the tidal flat can be generated using UAVs and these detailed spatial information about tidal flat will be widely used for tidal flat management.
 Keywords
UAV;mosaic image;DEM;interior orientation;exterior orientation;
 Language
Korean
 Cited by
1.
드론 항공사진측량 기법을 활용한 갯벌지역 모델링 및 갯골정보 추출에 관한 연구,이재빈;허용;

한국지형공간정보학회지, 2017. vol.25. 3, pp.43-52 crossref(new window)
 References
1.
Bendea, H., P. Boccardo, S. Dequal, F. Giulio Tonolo, D. Marenchino, and M. Piras, 2008. Low cost UAV for post-disaster assessment, Proc. of The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China, July. 3-11, vol. 37, pp. 1373-1379.

2.
Choi, J.K. and J.H. Ryu, 2011. A study on the sedmentary facies change in the tidal flat using high spatial resolution remotely sensed data, Economic and Environmental Geology, 44(1): 59-70 (In Korean with English abstract). crossref(new window)

3.
Gao, D. and F. Yin, 2013. Computing a complete camera lens distortion model by planar homography, Optics and Laser Technology, 49: 95-107. crossref(new window)

4.
Gulch, E., 2012. Photogrammetric measurements in fixed wign UAV imagery, The International Archives of the Photogrammetry, Proc. of Remote Sensing and Spatial Information Sciences, Melbourne, Australia, August. 25-September. 01, vol. 34, pp. 381-386 (In Korean with English abstract).

5.
Hunt, E.R., W.D. Hively, S.J. Fujikawa, D.S. Linden, C.S.T. Daughtry, and G.W. McCarty, 2010. Acquisition of NIR-green-blue digital photographs from unmanned aircraft for cop monitoring, Remote Sensing, 2: 290-305. crossref(new window)

6.
Kim, T.R. and S.K. Park, 2006. Study on intertidal flat topography observation using camera images, Journal of the Korean Society of Oceanography, 11(4): 145-151 (In Korean with English abstract).

7.
Lin, J., H. Tao, Y. Wang, and Z. Huang, 2010. Practical application of unmanned aerial vehicles for mountain hazards survey, Proc. of International Conference on Geoinformatics, Chengdu, China, June. 18-20, pp. 1-5.

8.
Lowe, D., 2004. Distinctive image features from scaleinvariant keypoints, International Journal of Computer Vision, 60(2): 91-110. crossref(new window)

9.
Mancini, F., M. Dubbini, M. Gattelli, F. Stecchi, S. Fabbri, and G. Gabbianelli, 2013. Using Unmanned Aerial Vehicles (UAV) for highresolution reconstruction of topography: The structure from motion approach on coastal environments, Remote Sensing, 5: 6880-6898. crossref(new window)

10.
Mason, D.C., I.J. Davenport, and G.J. Robinson, 1995. Construction of an inter-tidal digital elevation model by the 'water-line' method, Geophysical Research Letters, 22(23): 3187-3190. crossref(new window)

11.
Park, J.W., Y.K. Lee, and J.S. Won, 2009. Investigation of intertidal zone using TerraSAR-X, Korean Journal of Remote Sensing, 25(4): 383-389 (In Korean with English abstract).

12.
Rieke, M., T. Foerster, J. Geipel, and T. Prinz, 2011. High-Precision positioning and real-time data processing of UAV systems, Proc. of The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Zurich, Switzerland, Sep. 14-16, vol. 38-1/C22, pp. 1-6.

13.
Rosnell, T. and E. Honkavaara, 2012. Point cloud generation from aerial image data acquired by a Quadrocopter type micro unmanned aerial vehicle and a digital still camera, Sensors, 12(1): 453-480. crossref(new window)

14.
Ruiz, J.J., L. Diaz-Mas, F. Perez, and A. Viguria, 2013. Evaluating the Accuracy of DEM generation algorithms from UAV imagery, The International Archives of the Photogrammetry, Proc. of Remote Sensing and Spatial Information Sciences, Rostock, Germany, Sep. 4-6, vol. 40-1/W2, pp. 333-337.

15.
Ryu, J.H., J.K. Choi, Y.H. Na, and J.S. Won, 2003. Characteristics of Landsat ETM+ image for Gomso bay tidal flat sediments, Korean Journal of Remote Sensing, 19(2): 117-133 (In Korean with English abstract).

16.
Ryu, J.H., W.J. Cho, J.S. Won, I.T. Lee, S.S. Chun, A.S. Suh, and K.L. Kim, 2000. Intertidal DEM generation using waterline extracted from remotely sensed data, Korean Journal of Remote Sensing, 16(3): 221-233 (In Korean with English abstract).

17.
Suzuki, T., D. Miyoshi, J. Meguro, Y. Amano, T. Hashizume, K. Sato, and J. Takiguchi, 2008. Real-time hazard map generation using small unmanned aerial vehicle, Proc. of SICE annual conference, Tokyo, Japan, Aug. 20-22, pp. 443-446.

18.
Tahar, K.N., A. Ahmad, and W.A.A.W.M. Akib, 2011. UAV-based stereo vision for photogrammetric survey in aerial terrain mapping, Proc. of International Conference on Computer Applications and Industrial Electronics, Penang, Malaysia, Dec. 4-7, pp. 443-447.

19.
Xiang, H. and L. Tian, 2011a. Development of a lowcost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV), Biosystems Engineering, 108(2): 174-190. crossref(new window)

20.
Xiang, H. and L. Tian, 2011b. Method for automatic georeferencing aerial remote sensing (RS) images from an unmanned aerial vehicle (UAV) platform, Biosystems Engineering, 108(2): 104-113. crossref(new window)

21.
Yuan, X., J. Fu, H. Sun, and C. Toth, 2009. The application of GPS precise point positioning technology in aerial triangulation, Photogrammetry and Remote Sensing, 64(6): 541-550. crossref(new window)

22.
Zhang, Z., 1999. Flexible camera calibration by viewing a plane from unknown orientations, Proc. of the International Conference on Computer Vision, Kerkyra, Greece, Sep. 20-27, vol. 1, pp. 666-673.