Computer technology of images geometric correction
DOI:
https://doi.org/10.30888/2663-5712.2020-06-06-110Keywords:
CCD scanner, classification, geometric transformation, aircraft, digital imageAbstract
This work is devoted to remote sensing imagery geometric transformation. In this work a method of geometric transformation of an aerospace image based on GCPs and linear elements of the image was proposed. To distinguish linear elements automatically, theMetrics
References
Shedlovska Y. I., Hnatushenko V. V. (2017). Visual search algorithm for high resolution satellite imagery. Системні технології., No. 5 (112), pp. 18–25.
Shedlovska Y. I., Hnatushenko V. V. (2018) A Very High Resolution Satellite Imagery Classification Algorithm. IEEE 38th International Scientific and Technical Conference “Electronics and Nanotechnology” ELNANO 2018. April 24–28, 2018. Kyiv, Ukraine. Proceedings, pp. 654–657.
Gupta R. P. (2018). Remote Sensing Geology. Berlin, Springer. P. 428.
DOI: 10.1007/978-3-662-55876-8
Babapour H., Mokhtarzade M., Zoej M. A. (2016). Novel Post-Calibration Method for Digital Cameras Using Image Linear Features. International Journal of Remote Sensing, vol. 38, No. 8–10, pp. 2698–2716.
DOI: 10.1080/01431161.2016.1232875
Kim J., Kim T., Shin D., Kim S. (2017). Fast and Robust Geometric Correction for Mosaicking UAV Images with Narrow Overlaps. International Journal of Remote Sensing, vol 37, No. 8–10, pp. 2557–2576.
DOI: 10.1080/01431161.2017.1294779
Cao J. S., Yuan X. X., Fang Y., Gong J. Y. (2016) Geometric Calibration of Ziyuan-3 Three-Line Cameras Using Ground Control Lines. Photogrammetric Engineering & Remote Sensing., vol. 82, No.11, pp. 893–902.
DOI: 10.14358/PERS.82.11.893
Hao Fang, Binlin Hu, Zhongjiang Yu, Huoxi Xu, Chuan He, Aihua Li & Yinnian Liu (2018) Semi-automatic geometric correction of airborne hyperspectral push-broom images using ground control points and linear features. International journal of remote sensing, vol.39, Nо.12. pp. 4115–4129.
DOI: 10.1080/01431161.2018.1455237
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