Replacement Sensor Model Generation for a Long High-Resolution Satellite Image Strip

Many high-resolution satellite images are acquired in the strip mode, in which the imaging direction is aligned with the satellite trajectory. A long strip image is often sliced into several scenes before delivery, and customers preprocess each scene with auxiliary data before their applications. Se...

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Bibliographic Details
Published in:KSCE journal of civil engineering 2023, 27(4), , pp.1751-1759
Main Authors: Lee, Changno, Seo, Doocheon, Jung, Jinha, Oh, Jaehong
Format: Article
Language:English
Subjects:
Attitude change
Attitudes
Civil Engineering
Coefficients
Engineering
Errors
Geotechnical Engineering & Applied Earth Sciences
High resolution
Image acquisition
Image processing
Image resolution
Industrial Pollution Prevention
Linear equations
Polynomials
Satellite imagery
Sensors
Strip
Surveying and Geo-Spatial Engineering
토목공학
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Summary:Many high-resolution satellite images are acquired in the strip mode, in which the imaging direction is aligned with the satellite trajectory. A long strip image is often sliced into several scenes before delivery, and customers preprocess each scene with auxiliary data before their applications. Sensor model information is often provided for each scene in the form of rational polynomial coefficients (RPCs). The original RPCs of each scene are erroneous, and should be bias-compensated using ground reference data or ground control points. In this study, we propose the use of single RPCs for long image strips. However, a simple replacement of the physical sensor model using RPCs for the entire strip may cause large errors, because RPCs do not model large satellite attitude changes. Therefore, we applied the fitting of the satellite attitude to a linear equation before RPCs generation for a long-strip image. The test was conducted for three Kompsat-3A image strips consisting of multiple scenes, where one strip shows large satellite attitude changes. From the experiments, the RPCs generated for the whole image strip showed large errors compared to the strip adjustment; however, the proposed method could reduce the errors to an accuracy comparable to that of scene-based RPCs.
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-023-1708-2