Society for Organizations, Cartography, Remote sensing / Road Design and Applications using Technology / Transport Engineering on Earth and Space
Improve Accuracy of Topographic Maps using Satellite Images
S.O.C.R.A.T.E.S.
Articles
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16. Hosein, T., 2016, Using Satellite Images For Mapping And Updating Building Footprint Maps | CHARIM.
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18. Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F., Neal, J., Sampson, C., Kanae, S. and Bates, P., 2021. A high-accuracy map of global terrain elevations. [online] Available at: <https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017GL072874?scrollTo=references> [Accessed 12 December 2021].
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21. Hafedh Hamza, M. and Belhaj Aliorcid, A., 2021. Updating Traditional 1/50,000 Topographic Maps Using Crowd-Sourced Geodata and Free Sources Satellite Images , Scientific Research.
22. Hohle, J., 2017. Remote sensing. MDPI.
23. Shaker A., Yeung Yan W., Easa S., 2013. 'Using Stereo Satellite Imagery for Topographic and Transportation Applications' No. 3, p. 321–337.
24. TURKER M., GACEMER O., 2004. 'Geometric correction accuracy of IRS-1D PAN imagery usingtopographic map versus GPS control points' Vol. 25,No. 6, pp.1095–1104.
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26. YANG X., LIU Z., 2005. 'Using satellite imagery and GIS for land-use and land-cover changemapping in an estuarine watershed' Vol. 26, No. 23, pp. 5275–5296.
27. Shaker A., Yeung Yan W., Easa S., 2011. 'Construction of digital 3D highway model using stereo IKONOS satellite imagery' Vol. 26, No. 1, pp. 49–67.
28. R. Li,G. Zhou,N. J. Schmidt,C. Fowler &G. Tuell., 2002. 'Photogrammetric processing of high-resolution airborne and satellitelinea r array stere o images fo r mapping applications' vol.23, no.20, pp. 4451–4473.
29. Aguilara M., Nemmaouia A., Aguilara F., Novelliband A., Lorca A., 2017. 'Improving georeferencing accuracy of Very High Resolutionsatellite imagery using freely available ancillary data at globalcoverage' Vol. 10, No. 10, pp. 1055–1069.
30. Belhaj Ali A., Hafedh Hamza M., 2021. 'Updating Traditional 1/50,000 Topographic Maps Using Crowd-Sourced Geodata and Free Sources Satellite Images' Vol.13, No.02, pp. 274-286.
31. Knuth, F., Shean, D., Bhushan, S., Schwat, E., Alexandrov, O., McNeil, C., Dehecq, A., Florentine, C. and O’Neel, S., 2023. Historical Structure from Motion (HSfM): Automated processing of historical aerial photographs for long-term topographic change analysis. Remote Sensing of Environment, 285, p.113379.
32. Qiao, G., Yuan, X., Florinsky, I., Popov, S., He, Y. and Li, H., 2023. Topography reconstruction and evolution analysis of outlet glacier using data from unmanned aerial vehicles in Antarctica. International Journal of Applied Earth Observation and Geoinformation, 117, p.103186.
33. Chen, S., Ogawa, Y., Zhao, C. and Sekimoto, Y., 2023. Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach. ISPRS Journal of Photogrammetry and Remote Sensing, 195, pp.129-152.
34. Meng, X., Pi, H., Gao, X., He, P. and Lei, J., 2023. A high‐accuracy vegetation restoration potential mapping model integrating similar habitat and machine learning. Land Degradation & Development, 34(4), pp.1208-1224.