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GPS Intelligent Solution of Aerial Image Target in State Grid EIA Survey

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Parallel Architectures, Algorithms and Programming (PAAP 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1362))

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Abstract

This article is mainly aimed at defining and verifying whether the project involves environmentally sensitive areas in the process of environmental intelligent survey, calculating the position coordinate information of the target GPS position in the aerial image map under the condition of Gaussian projection, and further calculating the four corners of the image and the position of other target points under the WGS84 coordinate system. First of all, based on the POS data information of aerial equipment, this paper calculates the corresponding Gaussian projection and POS data information, then the pseudo-position information of image center coordinates is further calculated; Second, Based on the coordinates information of gauss projection, this paper calculates the heading open angle and side open angle of the camera, then calculate the width and height of the image for pose correction, and finally get the coordinate position of the corrected image center point. Finally, the GPS positions of other target points can be calculated by pixel coordinates of images, and the calculated results are pasted on Google earth for precision comparison. Experimental results show that the proposed method can accurately calculate the GPS positions of targets in aerial images.

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Acknowledgements

This work was supported by National Nature Science Foundation of China (NSFC) underGrants No. 61671356, Science and Technology Program of Shaanxi Province under Grants No. 2020GY-136 and 2019ZDLGY14-02-03.

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Correspondence to Wei Sun .

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Wu, Y. et al. (2021). GPS Intelligent Solution of Aerial Image Target in State Grid EIA Survey. In: Ning, L., Chau, V., Lau, F. (eds) Parallel Architectures, Algorithms and Programming. PAAP 2020. Communications in Computer and Information Science, vol 1362. Springer, Singapore. https://doi.org/10.1007/978-981-16-0010-4_13

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  • DOI: https://doi.org/10.1007/978-981-16-0010-4_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0009-8

  • Online ISBN: 978-981-16-0010-4

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