A simulation study on point determination for the MOMS-02/D2 space project using an extended functional model (original) (raw)
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Photogrammetric point determination and DEM generation using MOMS-2P/PRIRODA three-line imagery
This paper describes the process of photogrammetric point determination by bundle adjustment using three-line imagery collected by MOMS-2P, the German Modular Optoelectronic Multispectral Scanner. Since May 1996 MOMS-2P is attached to the remote sensing module PRIRODA of the Russian space station MIR. Its stereo module with three differently oriented lenses allows for the acquisition of three-fold along track stereoscopic imagery. The forward and aft looking channels provide 18 m, the nadir looking high resolution (HR) channel 6 m ground pixel size. For the photogrammetric evaluation 9 image scenes of orbit T083C were composed to an approximately 415 km long image strip covering parts of Southern Germany and Austria. For the German part control points provided by AMilGeo (Amt für Militärisches Geowesen) were used as ground control, with an accuracy of 1.5 m in X, Y and Z. The navigation data are recorded simultaneously with the image lines by the MOMS-NAV package mounted next to MOMS-2P on the PRIRODA module. The orbit positions are expected to have 5 m absolute and 3 m relative accuracy. The INS data have a relative accuracy of 15 00 . Since MOMS was mounted in orbit during an extra vehicular activity (EVA), there is no precise absolute pointing knowledge of the MOMS camera axes. According to experiences of earlier MOMS data evaluations the camera geometry is simultaneously estimated by self calibration methods. Using small subsets of 12, 7 and 4 control points empirical accuracies of approximately 8 m in planimetry and 10 m in height are achieved, verified by 141 independent check points. Finally a digital elevation model is produced for the entire area (about 50 km 100 km), which is imaged by all three stereo channels. For that purpose about 700.000 points are transformed into object space using the estimated interior and exterior orientation of the bundle adjustment. The comparison with a reference digital terrain model of AMilGeo results in normally distributed height differences with a standard deviation also of 10 m, demonstrating that the achieved accuracy of point determination is valid for the entire area.
Orientation of MOMS-02/D2 and MOMS-2P/PRIRODA imagery
ISPRS Journal of Photogrammetry and Remote Sensing, 1999
This paper deals with the orientation of three-line imagery which has been taken during the MOMS-02rD2 experiment in spring 1993, and during the MOMS-2PrPRIRODA mission since April 1996. The reconstruction of the image orientation is based on a combined adjustment of the complete image, ground control, orbit and attitude information. The combined adjustment makes use of the orientation point approach or the orbital constraints approach. In the second case, the bundle adjustment algorithm is supplemented by a rigorous dynamical modeling of the spacecraft motion. The results of the combined adjustment using MOMS-02rD2 imagery and control information of orbit a75b are presented. Based on the Ž . orientation point approach an empirical height accuracy of up to 4 m 0.3 pixel is obtained. In planimetry the empirical Ž . Ž . accuracy is limited to about 10 m 0.7 pixel , since the ground control points GCP and check points could not be identified in the imagery with the required accuracy. Computer simulations on MOMS-2PrPRIRODA image orientation based on realistic input information have shown that good accuracies of the estimated exterior orientation parameters and object point coordinates can be obtained either with a single strip and a few precise GCP or even without ground control information, if a Ž . block of several overlapping and crossing strips with high geometric strength q f 60% is adjusted. q
Local, Regional and Global Point Determination Using Three-Line Imagery and Orbital Constraints
2007
The emphasis of that paper is point determination using spaceborne 3-line imagery and orbital constraints. In order to properly utilize the image information contained in conjugate point coordinates and the orbit information contained in tracking data, both data types have to be evaluated in a combined adjustment process. To this end, the conventional bundle block adjustment algorithm is supplemented by a rigorous dynamical modeling of the satellite motion to take orbital constraints into account. For the forthcoming Mars96 HRSC/WAOSS experiment computer simulations on point determination have been performed to obtain a survey of the attainable accuracy at local, regional and global levels. Since WAOSS will image the entire planet, a closed block covering the entire Martian surface may be processed under ideal circumstances. Because of the extraordinary strength of the closed block and based on the complete image, orbit, attitude and ground control information, 60 m accuracy in X, Y...
Orientation Of Moms-02/d2 And Moms-2p Imagery
This paper deals with the orientation of 3-line imagery which has been taken during the MOMS-02/D2 experiment in spring 1993, and which will be acquired in course of the MOMS-02/PRIRODA project, scheduled for launch in April 1996. The reconstruction of the image orientation is based on a combined adjustment of the complete image, ground control, orbit and attitude information. To this end, the conventional bundle adjustment algorithm is supplemented by a rigorous dynamical modeling of the spacecraft motion to take orbital constraints into account. The results of the combined adjustment using MOMS-02/D2 imagery and control information of orbit #75B are presented. About 14 000 conjugate points in one imaging sequence covering 430 Theta 37 km 2 were processed together with the epoch state vector, attitude data and 12 GPS-derived ground control points (GCP). Within the threefold overlapping area an empirical accuracy of 12 m (0.9 pixel) in planimetry and 7 m (0.5 pixel) in height was ac...
An Improved Model for Along Track Stereo Sensors Using Rigorous Orbit Mechanics and Navigation Data
In this paper a major improvement of the generic rigorous sensor model for along track stereo optical satellite sensors which has been developed at UCL over the last three years is introduced, in detail. This improved model is implemented for satellite images where information of the orbit (state vectors) of the acquired satellite is provided, as is usual nowadays. The main achievement is that the precision of the solution is improved along with the accuracy, as the correlation between the exterior parameters is dramatically eliminated. Moreover, it is possible to carry out self calibration without correlation of the exterior orientation parameters with the interior orientation parameters (even for the calculation of the focal length). This model can be solved directly if the attitude information needed for a photogrammetric solution is given or after a calibration process using a small number of GCPs, in order to calculate missing information. The model is evaluated using SPOT5-HRS...
Theoretical modeling for the stereo mission
Space Science Reviews, 2006
We summarize the theory and modeling efforts for the STEREO mission, which will be used to interpret the data of both the remote-sensing (SECCHI, SWAVES) and in-situ
Evaluation of the RFM as a replacement for the Rigorous geometric Model of ASLAT-2A imagery
2014
The exploitation of the full geometric capabilities of the High-Resolution Satellite Imagery (HRSI), require the development of an appropriate sensor orientation model. The aim of geometric modelling is to describe the relationship between image and ground coordinates for a given sensor. A rigorous sensor model (RSM) for Alsat-2A has been developed; this model is based on the time dependent collinearity which integrates attitude, orbital data and other information extracted from the metadata provided with the images. To handle this geometric model a program has been developed and tested in previous works and provides an acceptable accuracy. But for the practical use of the developed model to orthorectify the imagery or the extraction of DSM from stereo images; this model must be integrated into dedicated software. Since the majority of these softwares support the rational function model (RFM), this paper deals with the use of the RFM as a replacement of the RSM. After calculating th...
An optimized orbital parameters model for geometric correction of space images
Advances in Space Research, 2015
The Orbital Parameters Model (OPM) is a physically constrained model for geometrical correction of satellite images with dynamic geometry. In this model, Keplerian parameters are used to establish an exact relationship between image space and object space. However, insufficient information regarding the precision of the observed Keplerian elements requires certain complementary parameters to be imposed on the model. These parameters lead to an undesirable increase in the number of required Ground Control Points (GCPs). To overcome this problem, unknown parameters may be introduced as quasi-observations in the adjustment procedure. This paper demonstrates that quasi-observation weights have a large impact on the OPM solution. For the first time, a Variance Components Estimation (VCE) technique is used to optimize the weights of quasi-observations when information on their observed precision is lacking. The proposed method is evaluated on two different SPOT datasets and one RapidEye dataset of stereo images. The results demonstrate the efficiency of VCEbased OPM where the highest expected accuracy of 3D information is reached even with three or four GCPs.
Sensors, 2012
The use of the small format digital action cameras has been increased in the past few years in various applications, due to their low budget cost, flexibility and reliability. We can mount these small cameras on several devices, like unmanned air vehicles (UAV) and create 3D models with photogrammetric technique. Either creating or receiving these kind of databases, one of the most important questions will always be that how accurate these systems are, what the accuracy that can be achieved is. We gathered the overlapping images, created point clouds, and then we generated 21 different digital surface models (DSM). The differences based on the number of images we used in each model, and on the flight height. We repeated the flights three times, to compare the same models with each other. Besides, we measured 129 reference points with RTK-GPS, to compare the height differences with the extracted cell values from each DSM. The results showed that higher flight height has lower errors, and the optimal air base distance is one fourth of the flying height in both cases. The lowest median was 0.08 meter, at the 180 meter flight, 50 meter air base distance model. Raising the number of images does not increase the overall accuracy. The connection between the amount of error and distance from the nearest GCP is not linear in every case.