AMETHIST: a method for equalization thanks to HISTograms

Kubik, Philippe; Pascal, V.

doi:10.1117/12.565091

Cited by 13 publications

(6 citation statements)

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“…According to the radiometric response, radiometric correction can be divided into methods using a linear model, such as QuickBird [ 20 ], and those using a nonlinear model, such as Pleiades-HR [ 23 ]. Considering the characteristics of these methods, the correction model of each detector can be divided into two parts: the linear transformation

in the system and the irregular disturbance

in the system.…”

Section: Methodsmentioning

confidence: 99%

“…With the improvement of satellite technology [ 19 ], the use of satellite yaw 90° imaging for calibration has been proposed, e.g., with QuickBird [ 20 ], RapidEye [ 21 ], Landsat 8 [ 22 ] and Pleiades-HR [ 23 ]. Satellites using optical butting, such as GaoFen-1 and GaoFen-2 [ 19 , 24 ], provide new vignetting calibration data by using side-slither scans.…”

Section: Introductionmentioning

confidence: 99%

“…It needs to take an image on the desert scene [ 20 , 21 , 25 ]. The histogram to calibration mainly uses the histogram matching [ 19 , 23 ]. For the optical butting system, the histograms in the non-vignetting area and vignetting area are much different.…”

Section: Introductionmentioning

confidence: 99%

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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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in the system and the irregular disturbance

in the system.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Chen

Pan

Wang

et al. 2018

Sensors

View full text Add to dashboard Cite

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“…However, no-requirement of on-board hardware and more time efficient than some of the traditional methods are a few of the major strengths of the side-slither technique for relative radiometric calibration [131]. The side-slither technique has shown a significant improvement in image quality for RapidEye [125], Landsat 8 [128], Quickbird [129] and Pleiades-HR [132] sensors. In 2014, Pesta et.…”

Section: Relative Radiometric Calibrationmentioning

confidence: 99%

Vicarious Methodologies to Assess and Improve the Quality of the Optical Remote Sensing Images: A Critical Review

2020

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Over the past decade, number of optical Earth-observing satellites performing remote sensing has increased substantially, dramatically increasing the capability to monitor the Earth. The quantity of remote sensing satellite increase is primarily driven by improved technology, miniaturization of components, reduced manufacturing, and launch cost. These satellites often lack on-board calibrators that a large satellite utilizes to ensure high quality (radiometric, geometric, spatial quality, etc.) scientific measurement. To address this issue, this work presents “best” vicarious image quality assessment and improvement techniques for those kinds of optical satellites which lack an on-board calibration system. In this article, image quality categories have been explored, and essential quality parameters (absolute and relative calibration, aliasing, etc.) have been identified. For each of the parameters, appropriate characterization methods are identified along with their specifications or requirements. In cases of multiple methods, recommendations have been made based-on the strengths and weaknesses of each method. Furthermore, processing steps have been presented, including examples. Essentially, this paper provides a comprehensive study of the criteria that need to be assessed to evaluate remote sensing satellite data quality, and the best vicarious methodologies to evaluate identified quality parameters such as coherent noise and ground sample distance.

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“…This new imaging mode has been applied to a satellite that can rotate its array 90 degrees on the yaw axis, which means that every detector is ideally aligned to image the same target as it moves along the velocity vector. Numerous satellites incorporate this imaging mode, including Landsat 8 [10], RapidEye [11], Pleiades-HR [12], and QuickBird [13]. Because the CCDs (charge-coupled device) or detectors are staggered, to ensure that the input of each detector is identical, the satellite needs to take images of a uniform field in the new mode used by Landsat 8, and QuickBird.…”

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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AMETHIST: a method for equalization thanks to HISTograms

Cited by 13 publications

References 0 publications

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

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

Vicarious Methodologies to Assess and Improve the Quality of the Optical Remote Sensing Images: A Critical Review

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

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