Virtual ground control for survey-grade terrain modelling from satellite imagery

Author(s):  
Sophie Zareei ◽  
Dave Kelbe ◽  
Pascal Sirguey ◽  
Steven Mills ◽  
David M. Eyers
Sensors ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 240 ◽  
Author(s):  
Zhenling Ma ◽  
Xiaoliang Wu ◽  
Li Yan ◽  
Zhenliang Xu

Author(s):  
Andri Suprayogi ◽  
Nurhadi Bashit

Large scale base map can be obtained by various methods, one of them is orthorectification process of remote sensing satellite imagery to eliminate the relief displacement caused by height variation of earth surface. To obtain a  map images with good quality,  it requires additional data such as sensor model in the form of rational polynomial coefficients (RPC), surface model data, and ground control points Satellite imageries with high resolution  file size are relatively large.  In order to process them,  high specification of hardwares were required. To overcome this by cutting only a portion of the images, based on certain study areas were suffer from of georeference lost so it would not be able to orthorectified. On the other hand,  in several remote sensing software such as ESA SNAP and Orfeo Toolbox (OTB)  subset or pixel extraction from satellite imagery,  preserve the imagery geometric sensor models. This research aimed at geometric accuracy of orthorectification carried out in a single scene of Pleiades Imagery within the Kepahiang Subdistrict, located at Kepahiang Regency, Bengkulu Province, by using DEMNAS and the imagery refined sensor mode, and ground control points taken using GPS Survey. Related with the raw imagery condition which consists of Panchromatic and multispectral bands, this study were separated to assembly, pan sharpening , and sensor model refinement stages prior to orthorectification carried out both in the original or full extent imagery and the result of subset extent imagery. After  these processses taken place, we measure the accuracy of each full and subset imagery.These procedures were carried out using Orfeo toolbox 6.6.0 in the Linux Mint 19 Operating system. From the process log, running time in total  were 7814.518  second for the full extent and 4321.95 seconds for the subset processess. And as a big data process, the total of full extent imageries was 83.15 GB  while the subset size  was  only 30.73 GB.  The relative accuracy of the full extent and its subset imagery were 0.431 meters. Accuracy of the  sensor model refinement process are  1.217 meters and 1.550 meters with GCP added, while the accuracu of  the orthorectifications results were  0.416 meters and 0.751 meters by using ICP.  Variation of execution time may caused by the data input size and complexity of the mathematical process carried out in each stages. Meanwhile,  the variation of accuracy may  caused by the check or control points placements above satellite Imagery which suffer from uncertainty when dealing with  the sub-pixel position or under 0.5 meters.


2019 ◽  
Vol 94 ◽  
pp. 02008
Author(s):  
Teguh Hariyanto ◽  
Akbar Kurniawan ◽  
Cherie Bhekti Pribadi ◽  
Rizal Al Amin

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


PLoS ONE ◽  
2013 ◽  
Vol 8 (8) ◽  
pp. e72093 ◽  
Author(s):  
Phillippa K. Bricher ◽  
Arko Lucieer ◽  
Justine Shaw ◽  
Aleks Terauds ◽  
Dana M. Bergstrom

CISM journal ◽  
1989 ◽  
Vol 43 (2) ◽  
pp. 127-132
Author(s):  
Bruce Sharpe

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.


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