PRISM On-Orbit Geometric Calibration and DSM Performance

Takaku, Junichi; Tadono, Takeo

doi:10.1109/tgrs.2009.2021649

Cited by 111 publications

(59 citation statements)

References 2 publications

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“…We are developing software called the "DSM and Ortho-image Generation Software for ALOS PRISM (DOGS-AP)" to process the scene-and manual-bases DSM and ORI using PRISM stereo image pairs (Takaku and Tadono, 2009a). DOGS-AP also has an instrument calibration function.…”

Section: Aw3d Dataset Generationmentioning

confidence: 99%

Generation of the 30 M-Mesh Global Digital Surface Model by Alos Prism

Tadono¹,

Nagai²,

Ishida³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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161

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ABSTRACT:Topographical information is fundamental to many geo-spatial related information and applications on Earth. Remote sensing satellites have the advantage in such fields because they are capable of global observation and repeatedly. Several satellite-based digital elevation datasets were provided to examine global terrains with medium resolutions e.g. the Shuttle Radar Topography Mission (SRTM), the global digital elevation model by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER GDEM). A new global digital surface model (DSM) dataset using the archived data of the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land Observing Satellite (ALOS, nicknamed "Daichi") has been completed on March 2016 by Japan Aerospace Exploration Agency (JAXA) collaborating with NTT DATA Corp. and Remote Sensing Technology Center, Japan. This project is called "ALOS World 3D" (AW3D), and its dataset consists of the global DSM dataset with 0.15 arcsec. pixel spacing (approx. 5 m mesh) and ortho-rectified PRISM image with 2.5 m resolution. JAXA is also processing the global DSM with 1 arcsec. spacing (approx. 30 m mesh) based on the AW3D DSM dataset, and partially releasing it free of charge, which calls "ALOS World 3D 30 m mesh" (AW3D30). The global AW3D30 dataset will be released on May 2016. This paper describes the processing status, a preliminary validation result of the AW3D30 DSM dataset, and its public release status. As a summary of the preliminary validation of AW3D30 DSM, 4.40 m (RMSE) of the height accuracy of the dataset was confirmed using 5,121 independent check points distributed in the world.

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Section: Aw3d Dataset Generationmentioning

confidence: 99%

Generation of the 30 M-Mesh Global Digital Surface Model by Alos Prism

Tadono¹,

Nagai²,

Ishida³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

161

View full text Add to dashboard Cite

show abstract

“…In a previous study of geometric calibration of ZY3-02 satellite, we validated the stability of internal accuracy, concluding that the variations in imaging time (within two months) and area have less of an influence on the internal accuracy, with the maximum discrepancy being equal to 0.06 pixels [34]. In addition, other researchers demonstrated that the interior calibration parameters are relatively stable in the short term and tried to establish the changing trend models within four years [40]. Moreover, according to the satellite designer from China Academy of Space Technology, they adopted some technologies like thermal control to provide a comparable environment for cameras on board satellites.…”

Section: Compensation Parameters Availabilitymentioning

confidence: 54%

Improving Geometric Performance for Imagery Captured by Non-Cartographic Optical Satellite: A Case Study of GF-1 WFV Imagery

et al. 2018

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Abstract:Numerous countries have established their own Earth observing systems (EOSs) for global change research. Data acquisition efforts are generally only concerned with the completion of the mission regardless of the potential to expand into other areas, which reduces the application effectiveness of Earth observation data. This paper explores the cartographic possibility of images being not initially intended for surveying and mapping, and a novel method is proposed to improve the geometric performance. First, the rigorous sensor model (RSM) is recovered from the rational function model (RFM), and then the system errors of the non-cartographic satellite's imagery are compensated by using the conventional geometric calibration method based on RSM; finally, a new and improved RFM is generated. The advantage of the method over traditional ones is that it divides the errors into static errors and non-static errors for each image during the improvement process. Experiments using images collected with the Gaofen-1 (GF-1) wide-field view (WFV) camera demonstrate that the orientation accuracy of the proposed method is within 1 pixel for both calibration and validation images, and the obvious high-order system errors are eliminated. Moreover, a block adjustment test shows that the vertical accuracy is improved from 21 m to 11 m with four ground control points (GCPs) after compensation, which can fulfill requirements for 1:100,000 stereo mapping in mountainous areas. Generally, the proposed method can effectively improve the geometric potential for images captured by non-cartographic satellite.

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“…Generally, the small matrix CCD in orbit needs to be calibrated first because of the potential for lens distortion or optical perturbations. The method currently used for calibration of matrix CCDs has been extensively developed using images covering calibration fields, and the interior orientation is better than 0.3 pixels [1][2][3][4][5]32]. Therefore, we assume that the matrix CCDs are perfectly planar after calibration.…”

Section: Accuracy Analysis Of Symmetrical Stereo Modementioning

confidence: 99%

“…As in the case of the French SPOT-5 satellite, stereo observations can be achieved using a high-resolution stereo (HRS) camera with a planimetric accuracy of less than 50 m, and a vertical accuracy of less than 15 m, without the use of ground control points (GCPs) [1,2]. By using a three-linear-array of stereo cameras, the Japanese advanced land observation satellite (ALOS) satellite can implement global mapping with planimetric and vertical accuracies, reaching 8 and 10 m, respectively, without GCPs [3][4][5]. The Indian Cartosat stereo satellite can achieve 7.3 and 4.7 m planimetric and vertical accuracy, respectively, without GCPs, which satisfies the requirements of 1:50,000 mapping [6].…”

Section: Introductionmentioning

confidence: 99%

Vertical Accuracy Simulation of Stereo Mapping Using a Small Matrix Charge-Coupled Device

2017

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At present, without ground control points (GCPs), the positioning accuracy of remote sensing images often fails to meet the growing requirements for mapping accuracy. Multi-load synergy to improve accuracy without GCPs by eliminating the impact of stereo accuracy, which is caused by on-orbit measurement error, is urgently needed to improve large-scale mapping. In this study, we analyzed error sources in stereo imaging mode and found that vertical accuracy depends on the relative accuracy of attitude during symmetric stereoscopic mapping. With the assistance of small matrix charge-coupled device (CCD) images and the block adjustment method, relative accuracy of attitude was improved, allowing for the improvement in vertical accuracy without GCPs. The simulation results show that vertical accuracy in symmetric stereo mode is not affected by attitude system error. After the restoration of imaging attitude processed by a sequence of matrix CCD images, the relative accuracy of the attitude increased, and the accuracy of the elevation without GCPs improved significantly. The results demonstrate the feasibility of small matrix CCD-assisted stereo mapping.

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PRISM On-Orbit Geometric Calibration and DSM Performance

Cited by 111 publications

References 2 publications

Generation of the 30 M-Mesh Global Digital Surface Model by Alos Prism

Generation of the 30 M-Mesh Global Digital Surface Model by Alos Prism

Improving Geometric Performance for Imagery Captured by Non-Cartographic Optical Satellite: A Case Study of GF-1 WFV Imagery

Vertical Accuracy Simulation of Stereo Mapping Using a Small Matrix Charge-Coupled Device

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