基于无控技术的海岸带影像图构建与应用

doi:10.19388/j.zgdzdc.2020.02.10

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Abstract Using the tight connection of direct geolocation technique and large-scale digital aerial photography system, the authors carried out the high-precision aerial remote sensing survey in Binhai New Area of Tianjin and Caofeidian New Area of Tangshan, West Bohai Bay. The application of uncontrolled point technology gets rid of the dependence on the base station for aerial remote sensing, and also overcomes the shortcoming of the rarity of ground stations in the surrounding areas of the coastal zone. Utilizing the 0.3 m high-resolution true-color aerial photography images and high-precision positioning and orientation elements, the authors have successfully constructed the Digital Elevation Model (DEM) and Digital Orthophoto Map (DOM), which meet the requirements of 1:10 000 scale indexes in plane and altitude. These fill the gap in the basic geological information of high-precision aerial remote sensing in Binhai New Area and the intertidal belt of Caofeidian Coastal Zone. On the basis of high-resolution satellite data, remote sensing interpretation has been used for land type classification and coastline extraction, which provides detailed and reliable geographic information for the thematic maps of remote sensing geological interpretation, geological ecological environment and disasters. The results show that the application of tightly coupled airborne position and orientation system (POS) and uncontrolled technology shortens the mapping cycle of DEM and DOM, reduces a lot of ground measurement workload and saves manpower and material expenditure. The research can provide some new technical support and working ideas for geological survey in coastal zone working areas.

Key words： airborne position and orientation system digital aerial photography precise point positioning coastal zone

Received: 19 March 2019

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	Articles by authors
	CHEN Jie
	LI Jing
	LI Qi
	LI Tianqi

Cite this article:

CHEN Jie,LI Jing,LI Qi, et al. Construction and application of coastal zone image map based on uncontrolled point technology[J]. , 2020, 7(2): 81-88.

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http://www.zgdzdcbjb.com/EN/10.19388/j.zgdzdc.2020.02.10 OR http://www.zgdzdcbjb.com/EN/Y2020/V7/I2/81

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