Invariant models for ground control points in high resolution images

1998 ◽  
Vol 19 (7) ◽  
pp. 1359-1375 ◽  
Author(s):  
P. Motrena ◽  
J. M. Rebordao
Keyword(s):  
High Resolution ◽  
Ground Control ◽  
Control Points ◽  
Ground Control Points ◽  
High Resolution Images

scholarly journals Avaliação de Desempenho no Georreferenciamento de Imagens do Sensor HR CCD (High Resolution Charge-Coupled Device) do Satélite CBERS-1

2005 ◽  
Vol 32 (2) ◽  
pp. 81
Author(s):  
RAFAEL PEREIRA ZANARDI ◽  
SILVIA BEATRIZ ALVES ROLIM ◽  
CLÁUDIO BIELENKI JÚNIOR ◽  
CARLOS ALUISIO MESQUITA DE ALMEIDA
Keyword(s):  
High Resolution ◽  
Geometric Transformation ◽  
Ground Control ◽  
Control Points ◽  
Differential Gps ◽  
Charge Coupled Device ◽  
Qualitative And Quantitative ◽  
Ground Control Points ◽  
Sampling Points ◽  
Nearest Neighborhood

In this work it was analyzed the validation of CBERS-1 (China and Brazillian Earth Resourses Satellite) data related to qualitative and quantitative parameters that define the precision of its georeferencing. A topographical survey was carried out for the acquisition of ground control points spatially well distributed in the study area, employing differential GPS, aiming at the georeferencing of the image. Tests with different numbers of sampling points and several methods of Geometric Transformation and Resampling were made during the georeferencing. These results were statistically analyzed to determine the best method to georeference CBERS-1 images. It was verified that the first-degree polinomial transformation with nearest neighborhood resampling presented the best result, showing a precision of 18,52m.

scholarly journals Accuracy of DSM By Using Unmanned Aerial Vehicles on the Downstream of Welang Riverbank, District of Pasuruan, Jawa Timur

UKaRsT ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 49
Author(s):  
Dian Wahyu Khaulan ◽  
Entin Hidayah ◽  
Gusfan Halik
Keyword(s):  
High Resolution ◽  
Vertical Direction ◽  
Sufficient Accuracy ◽  
Ground Control ◽  
Surface Model ◽  
Control Points ◽  
Digital Surface Model ◽  
Ground Control Points ◽  
Aerial Vehicle ◽  
Topography Data

The Digital Surface Model (DSM) is commonly used in studies on flood map modeling. The lack of accurate, high-resolution topography data has hindered flood modeling. The use of the Unmanned Aerial Vehicle (UAV) can help data acquisition with sufficient accuracy. This research aims to provide high-resolution DSM-generated maps by Ground Control Points (GCPs) settings. Improvement of the model's accuracy was pursued by distributing 20 GCPs along the edges of the study area. Agrisoft software was used to generate the DSM. The generated DSM can be used for various planning purposes. The model's accuracy is measured in Root Mean Square Error (RMSE) based on the generated DSM. The RMSE values are 0.488 m for x-coordinates and y-coordinates (horizontal direction) and 0.161 m for z-coordinates (vertical direction).

scholarly journals PANTIR - A DUAL CAMERA SETUP FOR PRECISE GEOREFERENCING AND MOSAICING OF THERMAL AERIAL IMAGES

2015 ◽  
Vol XL-3/W2 ◽  
pp. 269-272 ◽  
Author(s):  
I. Weber ◽  
A. Jenal ◽  
C. Kneer ◽  
J. Bongartz
Keyword(s):  
Data Analysis ◽  
High Resolution ◽  
Spatial Resolution ◽  
Common Ground ◽  
Aerial Images ◽  
Ground Control ◽  
Thermal Activity ◽  
Control Points ◽  
High Quality ◽  
Ground Control Points

Research and monitoring in fields like hydrology and agriculture are applications of airborne thermal infrared (TIR) cameras, which suffer from low spatial resolution and low quality lenses. Common ground control points (GCPs), lacking thermal activity and being relatively small in size, cannot be used in TIR images. Precise georeferencing and mosaicing however is necessary for data analysis. Adding a high resolution visible light camera (VIS) with a high quality lens very close to the TIR camera, in the same stabilized rig, allows us to do accurate geoprocessing with standard GCPs after fusing both images (VIS+TIR) using standard image registration methods.

scholarly journals Development of Operational Applications for TerraSAR-X

2018 ◽  
Vol 10 (10) ◽  
pp. 1535 ◽  
Author(s):  
Oliver Lang ◽  
Parivash Lumsdon ◽  
Diana Walter ◽  
Jan Anderssohn ◽  
Wolfgang Koppe ◽  
...  
Keyword(s):  
High Resolution ◽  
Surface Deformation ◽  
Target Recognition ◽  
Control Point ◽  
Automatic Target Recognition ◽  
Ground Control ◽  
Control Points ◽  
Surface Movement ◽  
Precise Orbit ◽  
Ground Control Points

In the course of the TerraSAR-X mission, various new applications based on X-Band Synthetic Aperture Radar (SAR) data have been developed and made available as operational products or services. In this article, we elaborate on proven characteristics of TerraSAR-X that are responsible for development of operational applications. This article is written from the perspective of a commercial data and service provider and the focus is on the following applications with high commercial relevance, and varying operational maturity levels: Surface Movement Monitoring (SMM), Ground Control Point (GCP) extraction and Automatic Target Recognition (ATR). Based on these applications, the article highlights the successful transition of innovative research into sustainable and operational use within various market segments. TerraSAR-X’s high orbit accuracy, its precise radar beam tracing, the high-resolution modes, and high-quality radiometric performance have proven to be the instrument’s advanced characteristics, through, which reliable ground control points and surface movement measurements are obtained. Moreover, TerraSAR-X high-resolution data has been widely exploited for the clarity of its target signatures in the fields of target intelligence and identification. TerraSAR-X’s multi temporal interferometry applications are non-invasive and are now fully standardised autonomous tools to measure surface deformation. In particular, multi-baseline interferometric techniques, such as Persistent Scatter Interferometry (PSI) and Small Baseline Subsets (SBAS) benefit from TerraSAR-X’s highly precise orbit information and phase stability. Similarly, the instrument’s precise orbit information is responsible for sub-metre accuracy of Ground Control Points (GCPs), which are essential inputs for orthorectification of remote sensing imagery, to locate targets, and to precisely georeference a variety of datasets. While geolocation accuracy is an essential ingredient in the intelligence field, high-resolution TerraSAR-X data, particularly in Staring SpotLight mode has been widely used in surveillance, security and reconnaissance applications in real-time and also by automatic or assisted target recognition software.

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