Geometric processing in macdonald dettwiler’s meridian-gics system

CISM journal ◽  
1989 ◽  
Vol 43 (2) ◽  
pp. 127-132
Author(s):  
Bruce Sharpe
Keyword(s):  
Satellite Imagery ◽  
Ground Control ◽  
Geometric Correction ◽  
Design Goal ◽  
Maximum Accuracy ◽  
Geometric Processing

Algorithms for the geometric correction of satellite imagery have been developed by MacDonald Dettwiler for a wide variety of satellites and sensors. A key design goal was to achieve the maximum accuracy using a minimum of ground control. This paper describes the geometric processing used by the Meridian system and results of its applications.

scholarly journals Optimization of Ground Control Point (GCP) and Independent Control Point (ICP) on Orthorectification of High Resolution Satellite Imagery

2019 ◽  
Vol 94 ◽  
pp. 02008
Author(s):  
Teguh Hariyanto ◽  
Akbar Kurniawan ◽  
Cherie Bhekti Pribadi ◽  
Rizal Al Amin
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Survey Methods ◽  
Control Point ◽  
Satellite Image ◽  
Geometric Distortion ◽  
Ground Control ◽  
Geometric Correction ◽  
Space Utilization ◽  
Ground Control Point

In the rapidly evolving technology era, various survey methods have been widely used one of them by remote sensing using satellite. It is known that the satellite image recording process is covered by rides (satellites) moving over the Earth's surface at hundreds of kilometers, causing satellite imagery to have geometric distortion. To reduce the effect of geometric distortion of objects on the image, geometric correction by orthorectification is done. Pleiades is a satellite of high resolution satellite image producer made by Airbus Defense & Space company. The resulting satellite imagery has a 0.5 meter spatial resolution. As a reference for the more detailed space utilization activities of space utilization arranged in the Regional Spatial Plans, Detailed Spatial Plans was created with the 1: 5000 scale map which has been governed by the Geospatial Information Agency. In the process of orthorectifying satellite imagery for this 1: 5000 scale map, ground control or Ground Control Point (GCP) is used for geometric correction and Digital Elevation Model (DEM) data. In this research, the optimal number of GCP usage for orthorectification process in Rational Function method is 21 GCP using 2nd order polynomial

scholarly journals Ground Data Inputs To Image Processing for Estimating Terrain Characteristics for Glacio-Hydrological Analysis

1987 ◽  
Vol 9 ◽  
pp. 45-49 ◽  
Author(s):  
M.J. Clark ◽  
A.M. Gurnell ◽  
P.J. Hancock
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Satellite Imagery ◽  
Geometric Correction ◽  
Data Set ◽  
Glacial Environments ◽  
Methodological Problems ◽  
Terrain Characteristics ◽  
Radiometric Data

Remote-sensing research in glacial and pro-glacial environments raises several methodological problems relating to the handling of ground and satellite radiometric data. An evaluation is undertaken of the use of ground radiometry to elucidate properties of relevant surface types in order to interpret satellite imagery. It identifies the influence that geometric correction and re-sampling have on the radiometric purity of the resulting data set. Methodological problems inherent in deriving catchment terrain characteristics are discussed with reference to currently glacierized and pro-glacial zones of south-western Switzerland.

scholarly journals Comparison of Orbit-Based and Time-Offset-Based Geometric Correction Models for SAR Satellite Imagery Based on Error Simulation

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 170 ◽  
Author(s):  
Seunghwan Hong ◽  
Yoonjo Choi ◽  
Ilsuk Park ◽  
Hong-Gyoo Sohn
Keyword(s):  
Satellite Imagery ◽  
Geometric Correction ◽  
Time Offset ◽  
Error Simulation

scholarly journals Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation

Sensors ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 240 ◽  
Author(s):  
Zhenling Ma ◽  
Xiaoliang Wu ◽  
Li Yan ◽  
Zhenliang Xu
Keyword(s):  
Satellite Imagery ◽  
Ground Control ◽  
Control Points ◽  
Ground Control Points ◽  
Repeated Observation

An Optimization Method on Ground Control Point Distribution

2011 ◽  
Vol 268-270 ◽  
pp. 1092-1095
Author(s):  
Guang Yang ◽  
Wei Li Jiao
Keyword(s):  
Remote Sensing ◽  
Control Point ◽  
Optimization Method ◽  
Ground Control ◽  
Geometric Correction ◽  
Importance Value ◽  
Point Distribution ◽  
Ground Control Point ◽  
Thiessen Polygon ◽  
Automatic Optimization

With the development of remote sensing, the data quantity of remote sensing image is increasing tremendously. It brings a huge workload to the image geometric correction through manual ground control point (GCP) selection. GCPs automatically selected based on software is one of the effective methods to cut down manual operation. The GCPs obtained from that way is generally redundant. This paper deeply comprehends some existing methods about automatic optimization of GCP, and puts forward a new method of automatic optimization of GCP based on Thiessen Polygon to filter ground control points from the overfull ones without manual subjectivity for better accuracy. Experiments in this paper also demonstrated the relationship between the accuracy of geometric correction and the distribution of GCP. It advances the conception of single GCP’s importance value based on Thiessen Polygon. The paper gives the theory and the flow of automatic optimization of GCPs as well. It also presents an example of the application of this method. In the conclusion, this paper points out the advantages of this method .

Evaluation of 3D Geo-Positioning Based on Bias-Compensated RPCs for Across-Track QuickBird Stereo Imagery

2012 ◽  
Vol 226-228 ◽  
pp. 1958-1964
Author(s):  
Weian Wang ◽  
Shu Ying Xu ◽  
Gang Qiao
Keyword(s):  
Vertical Direction ◽  
Ground Control ◽  
Control Points ◽  
Accuracy Analysis ◽  
Geometric Correction ◽  
Positioning Accuracy ◽  
Ground Control Points ◽  
Order Polynomial ◽  
Stereo Imagery ◽  
Very High

This paper investigates the geo-positioning accuracy of across-track QuickBird stereo imagery in Shanghai, China, where the terrain relief is very low about 3m but with very high buildings up to 380m. The rational function model (RFM) and the bias-compensated RFM with different parameters are employed to do accuracy analysis with different configurations of ground control points (GCPs). The systematic errors in vendor provided RPCs are revealed and discussed. The results of bias-compensated RFM show that different strategies in terms of the number of GCP and different geometric correction methods should be taken into consideration in order for a better and reasonable positioning accuracy in the three directions. The results also show that the best accuracy of 0.6m in horizontal direction and 0.8m in vertical direction can be acquired by the second-order polynomial model when GCPs are more than 8.

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