A method for vector geographic information acquisition based on synchronous correction with remote sensing images

doi:10.6046/zrzyyg.2021279

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Abstract

Given the limitations in the existing vector geographic information acquisition based on remote sensing images, this study proposed a new method, in which the vector geographic information is orthorectified synchronously with remote sensing images. Firstly, the original remote sensing images are no longer processed using high-precision orthorectification, and vector geographic information acquisition is directly carried out based on the original remote sensing images. The original remote sensing images are processed using high-precision orthorectification after the vector geographic information acquisition. Moreover, the vector geographic information is synchronously corrected using the same model based on the original remote sensing images, thus achieving the consistency and synchronization between the remote sensing images and vector geographic information. This method can eliminate the potential risks in data security in the process of field investigation and can help optimize the existing production process and improve the timeliness of vector geographic information acquisition. Taking WorldView-2 remote sensing images as the data source, this study performed the vector geographic information acquisition of two selected typical types of terrain, i.e., plain and mountain, using this method. The results show that this method can ensure that the spatial positioning accuracy of the results can roughly meet relevant requirements and can effectively address the problems of the feature intersection and gaps possibly occurring in the existing improved techniques and methods.

Keywords vector remote sensing image correction RPC process flow

ZTFLH:	P237
	TP391.4

Issue Date: 21 September 2022

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	Tao CHENG

Cite this article:

Tao CHENG. A method for vector geographic information acquisition based on synchronous correction with remote sensing images[J]. Remote Sensing for Natural Resources, 2022, 34(3): 59-64.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021279 OR https://www.gtzyyg.com/EN/Y2022/V34/I3/59

Fig.1 WorldView-2 image combined with B5(R),B3(G),B2(B)

Fig.2 Flow chart of the proposed method

Fig.3 Results of vector geographic information acquisition

Fig.4 Correction results of vector geographic information

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