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Find position-based photo control point elevation precision cloud computing conversion method

A technology like control points and cloud computing, which is applied in complex mathematical operations, special data processing applications, structured data retrieval, etc., can solve the problems of time-consuming and labor-intensive, and Qianxun location service cannot directly obtain centimeter-level problems, so as to save costs The effect of training on construction period, ensuring safety and solution accuracy

Pending Publication Date: 2020-09-01
POWERCHINA XIBEI ENG
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The measurement benchmarks for surveying and mapping image control points are often the CGCS2000 national geodetic coordinate system (x, y) and the 1985 national elevation datum (h). The positioning accuracy needs to be at the centimeter level. The conversion of the geodetic height H to the 1985 national elevation datum h depends on the basic control network. Or precise local coordinate conversion parameters, time-consuming and labor-intensive, Qianxun location service cannot directly obtain centimeter-level normal height coordinates for image control point measurement

Method used

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  • Find position-based photo control point elevation precision cloud computing conversion method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] refer to figure 1 A conversion method based on Qianxun position's precise cloud computing of image control point elevation as shown, including the following steps

[0073] Step 1: Qianxun location collection with geodetic coordinates

[0074] Manual or automatic interface for geodetic coordinate Qianxun position collection;

[0075] Step 2: Perform precise elevation fitting cloud conversion

[0076] The geodetic coordinates of Qianxun's position collected in step 1 are converted to the cloud for precision elevation fitting on the private cloud computing platform, and the ellipsoidal height of the geodetic coordinates is converted into the normal height system of the surveying and mapping datum;

[0077] Step 3: Output the solution report

[0078] The private cloud platform server outputs the elevation cloud calculation conversion result obtained in step 2 as a calculation report, which includes calculation results, processing accuracy evaluation and graphic display; ...

Embodiment 2

[0088] refer to figure 1 The shown one is based on Qianxun position's image control point elevation precision cloud computing conversion method, which is different from Embodiment 1 in that: the coordinate collection in step 1 is to use Qianxun position mobile terminal to directly measure WGS84 ellipsoid Geodetic coordinate A under the sphere 1 (B,L,H),A 2 (B,L,H)...、A i (B,L,H);

[0089] Among them: A i (B, L, H) are the coordinates of the i-th row point, i=1, 2,....

[0090] Further, the geodetic coordinate Qianxun position collected in the step 1 adopts a fixed format of text:

[0091] A 1 (B,L,H)

[0092] A 2 (B,L,H)

[0093] ...

[0094] A i (B,L,H)

[0095] Coordinates of one point per line;

[0096] Among them: B, L are the latitude and longitude of the geodetic coordinates, unit: decimal degrees;

[0097] H is the height of the earth, unit: meter;

[0098] A i (B, L, H) are the coordinates of the i-th row point, i=1, 2,....

[0099] Further, the decima...

Embodiment 3

[0102] refer to figure 1 The shown a conversion method based on the precise cloud computing of the height of the image control point based on Qianxun's position is different from the first embodiment in that: the conversion of the precise height fitting cloud in the second step includes at least the following steps:

[0103] Step 201: Establish a regional elevation anomaly database composed of known control points; the known control points in the database are not more than 30km apart and evenly distributed, and at the same time obtain the high-precision geodetic height H of the WGS84 reference ellipsoid of these known control points wgs84 and normal high h 1985 .

[0104] Step 202: Calculate the real outlier ζ=H of known control points wgs84 -h 1985 ;

[0105] Step 203: Calculate the elevation outlier ζ of the gravity field model GM ;

[0106] Step 204: Calculate the height anomaly ζ of the remaining terrain model RTM RTM ;

[0107] Step 205: Calculate the abnormal val...

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Abstract

The invention belongs to the technical field of photogrammetry, and particularly relates to a Find position-based image control point elevation precision cloud computing conversion method. The methodcomprises five steps of geodetic coordinate find position acquisition, precision elevation fitting cloud conversion, calculation report output, self-learning and training promotion and conversion result use. A B / S architecture private cloud computing mode is adopted to realize centimeter-level cloud computing elevation conversion from geodetic height to normal height of continuous operation reference station CORS services such as find position, the procedure of joint measurement of national standard points or establishment of a basic control network is omitted in image control point operation,and the cost and the construction period are saved.

Description

technical field [0001] The invention belongs to the technical field of photogrammetry, and in particular relates to a transformation method based on Qianxun position-based precision cloud computing of image control point elevation. Background technique [0002] Based on the concept of "Internet + location (Beidou)", Qianxun location has built a continuous operation reference station CORS through the integration of a Beidou base network, and built a location service cloud platform using multi-base station satellite positioning network RTK and cloud computing technology. In the field of surveying and mapping, the technical carrier phase difference technology is mainly used to provide centimeter-level high-precision positioning services. The position coordinates that can be output are the geodetic coordinates of the WGS84 ellipsoid (latitude B, longitude L, and geodetic height H). The measurement benchmarks for surveying and mapping image control points are often the CGCS2000 n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06F16/29
CPCG06F17/18G06F16/29
Inventor 尚海兴申恩昌李祖锋柯生学
Owner POWERCHINA XIBEI ENG
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