Algorithms for Relative Radiometric Correction in Earth Observing Systems “Resource-P” and “Canopus-V”

Zenin, V. A.; Eremeev, V. V.; Kuznetcov, A. E.

doi:10.5194/isprsarchives-xli-b6-189-2016

Cited by 2 publications

(2 citation statements)

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“…Throughout the development of remote sensing technology, many relative radiometric calibration methods have been proposed [4]. According to the different ways to obtain the correction coefficients, relative radiometric calibration can be divided into three categories, including calibration-based methods, scene-based methods, and comprehensive methods, as described by Duan [5].…”

Section: Introductionmentioning

confidence: 99%

A Relative Radiometric Calibration Method Based on the Histogram of Side-Slither Data for High-Resolution Optical Satellite Imagery

et al. 2018

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Relative radiometric calibration, or flat fielding, is indispensable for obtaining high-quality optical satellite imagery for sensors that have more than one detector per band. High-resolution optical push-broom sensors with thousands of detectors per band are now common. Multiple techniques have been employed for relative radiometric calibration. One technique, often called side-slither, where the sensor axis is rotated 90 • in yaw relative to normal acquisitions, has been gaining popularity, being applied to Landsat 8, QuickBird, RapidEye, and other satellites. Side-slither can be more time efficient than some of the traditional methods, as only one acquisition may be required. In addition, the side-slither does not require any onboard calibration hardware, only a satellite capability to yaw and maintain a stable yawed attitude. A relative radiometric calibration method based on histograms of side-slither data is developed. This method has three steps: pre-processing, extraction of key points, and calculation of coefficients. Histogram matching and Otsu's method are used to extract key points. Three datasets from the Chinese GaoFen-9 satellite were used: one to obtain the relative radiometric coefficients, and the others to verify the coefficients. Root-mean-square deviations of the corrected imagery were better than 0.1%. The maximum streaking metrics was less than 1. This method produced significantly better relative radiometric calibration than the traditional method used for GaoFen-9.

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Section: Introductionmentioning

confidence: 99%

A Relative Radiometric Calibration Method Based on the Histogram of Side-Slither Data for High-Resolution Optical Satellite Imagery

et al. 2018

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“…The vignetting method based on relative radiometric calibration has been proposed for linear push-broom systems [ 14 ]. Laboratory radiometric calibration and on-orbit relative radiometric calibration are important methods of this type for remote sensing camera [ 15 , 16 , 17 ]. The characteristics of the satellite must be measured prior to launch using a laboratory integrating sphere [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Side-Slither Data-Based Vignetting Correction of High-Resolution Spaceborne Camera with Optical Focal Plane Assembly

Chen

Pan

Wang

et al. 2018

Sensors

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Optical focal plane assemblies are increasingly being used in high-resolution optical satellite systems to enhance the width of the image using linear push-broom imaging. With this system, vignetting occurs in the area of overlap, affecting image quality. In this paper, using the characteristics of the side-slither data, we propose side-slither data-based vignetting correction of a high-resolution spaceborne camera with an optical focal plane assembly. First, the raw side-slither data standardization is used to ensure that each row has the same features. Then, with the spatial correlation of a gray-level co-occurrence matrix, the gray-level co-occurrence matrix is proposed to identify the uniform regions, to extract the sample points. Finally, due to the characteristics of compatible linear response and non-linear response, the power-law model was used to fit, and the Levenberg–Marquardt algorithm was used to fit the model. In the experiment, polynomial fitting, laboratory coefficients and on-orbit coefficients were used for comparison with the proposed method. The side-slither data can be treated as a uniform scene due to their characteristics, and the side-slither image that was corrected using the proposed method showed less than 1% change in mean value, a root-mean-square deviation value better than 0.1%, and the average streaking metrics were superior to 0.02. The results showed that the proposed method performs significantly better in the vignetting area.

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Algorithms for Relative Radiometric Correction in Earth Observing Systems “Resource-P” and “Canopus-V”

Cited by 2 publications

References 0 publications

A Relative Radiometric Calibration Method Based on the Histogram of Side-Slither Data for High-Resolution Optical Satellite Imagery

A Relative Radiometric Calibration Method Based on the Histogram of Side-Slither Data for High-Resolution Optical Satellite Imagery

Side-Slither Data-Based Vignetting Correction of High-Resolution Spaceborne Camera with Optical Focal Plane Assembly

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