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http://dx.doi.org/10.7848/ksgpc.2017.35.1.1

Land Cover Classification with High Spatial Resolution Using Orthoimage and DSM Based on Fixed-Wing UAV  

Kim, Gu Hyeok (Dept. of Civil Engineering, Chungbuk National University)
Choi, Jae Wan (Dept. of Civil Engineering, Chungbuk National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.35, no.1, 2017 , pp. 1-10 More about this Journal
Abstract
An UAV (Unmanned Aerial Vehicle) is a flight system that is designed to conduct missions without a pilot. Compared to traditional airborne-based photogrammetry, UAV-based photogrammetry is inexpensive and can obtain high-spatial resolution data quickly. In this study, we aimed to classify the land cover using high-spatial resolution images obtained using a UAV. An RGB camera was used to obtain high-spatial resolution orthoimage. For accurate classification, multispectral image about same areas were obtained using a multispectral sensor. A DSM (Digital Surface Model) and a modified NDVI (Normalized Difference Vegetation Index) were generated using images obtained using the RGB camera and multispectral sensor. Pixel-based classification was performed for twelve classes by using the RF (Random Forest) method. The classification accuracy was evaluated based on the error matrix, and it was confirmed that the proposed method effectively classified the area compared to supervised classification using only the RGB image.
Keywords
UAV; Multispectral; DSM; Modified NDVI; RF;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Belgiu, M. and Dragut, L. (2016), Random forest in remote sensing: A review of applications and future directions, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 114, pp. 24-31.   DOI
2 Chang, A.J., Kim, Y.I., Choi, S.K., Han, D.Y., Choi, J.W., Kim, Y.M., Han, Y.K., Park, H.L., Wang, B., and Lim, H.C. (2011), Construction and data analysis of test-bed by hyperspectral airborne remote sensing, Korean Journal of Remote Sensing, Vol. 29, No. 2, pp. 161-172. (in Korean with English abstract)   DOI
3 Debes, C., Hahn, J., Liao, W., Gautama, S., and Du, Q. (2014), Hyperspectral and LiDAR data fusion: Outcome of the 2013 GRSS data fusion contest, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 6, pp. 2405-2418.   DOI
4 Feng, Q., Liu, J., and Gong, J. (2015), UAV remote sensing for urban vegetation mapping using random forest and texture analysis, Remote Sensing, Vol. 7, No. 1, pp. 1074-1094.   DOI
5 Kim, D.I., Song, Y.S., Kim, G.H., and Kim, C.W. (2014), A study on the application of UAV for Korean land monitoring, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 32, No. 1, pp. 29-38. (in Korean with English abstract)   DOI
6 Lee, G.S., Choi, Y.W., Jung K.S., and Cho G.S. (2015), Analysis of the spatial information accuracy according to photographing direction of fixed wing UAV, Journal of the Korean Cadastre Information Association, Vol. 17, No. 3, pp. 141-149. (in Korean with English abstract)
7 Park, J.K. and Kim, M.G. (2016), Applicability verification of rotary wing UAV for rapid construction of geospatial information, Asia-pacific Journal of Multimedia services convergent with Art, Humanities, and Sociology, Vol. 6, No. 4, pp. 73-80. (in Korean with English abstract)
8 Rhee, S.A., Kim, T.J., Kim, J.E., Kim, M.C., and Chang, H.J. (2015), DSM generation and accuracy analysis from UAV images on river-side facilities, Korean Journal of Remote Sensing, Vol. 31, No. 4, pp. 183-191. (in Korean with English abstract)   DOI
9 Rouse, J.W., Haas, R.H., Schell, J.A., and Deering, D.W. (1974), Monitoring vegetation systems in the great plains with ERTS, Proceedings of the third Earth Resource Technology Satellite (ERTS) Symposium, NASA, 10-14 December, Washington, D.C, USA, Vol. 1, pp. 309-317.
10 SenseFly. (2017), Drones for professionals, mapping & photogrammetry, flight planning & control software, senseFly SA, Switzerland, https://www.sensefly.com (last date accessed: 25 January 2017).
11 Straub, C., Weinacker, H., and Koch, B. (2008), A fully automated procedure for delineation and classification of forest and non-forest vegetation based on full waveform laser scanner data, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS, 3-11 July, Beijing, China, Vol. 37, pp. 1013-1019.
12 Yun, B.Y. and Lee, J.O. (2014), A study on application of the UAV in Korea for integrated operation with spatial information, Journal of the Korean Society for Geospatial Information Science, Vol. 22, No. 2, pp. 3-9. (in Korean with English abstract)