On-orbit relative radiometric calibration of optical video satellites without uniform calibration sites

Zhang, Guo; Li, Li Tao; Jiang, Ya Dong; Shi, Xiao Tian

doi:10.1080/01431161.2019.1579942

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…The test response parameters of the camera are compared with the theoretical response parameters. First, the spectral irradiance of the input light source is calculated using Equation (1), and the theoretical grayscale response of the image is derived using Equation (2) based on the laboratory radiometric calibration coefficients of the camera [2]. Then the grayscale values of the measured images are compared with the theoretical grayscale response to analyzing the changes in the radiation characteristics of the camera [3].…”

Section: Test Methods Designmentioning

confidence: 99%

A Novel Testing Method for the Radiometric Responsivity of Satellite Cameras

Yang,

Chen,

Nan

2023

J. Phys.: Conf. Ser.

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To solve the problems of harsh test conditions and the complex process of visible imaging satellite cameras, a testing method suitable for conducting at the launch site was proposed to address the limitations of the original test design. The method is highly efficient and accurate enough in evaluating the radiometric responsivity of satellite cameras, with the advantages of fully controllable test conditions, convenience, and high accuracy. Using a certain type of optical satellite as an example, the proposed method is used to test the radiometric responsivity of satellite cameras and compare the results with those obtained by the traditional integrating sphere testing method to verify the validity and reliability of the testing method.

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Section: Test Methods Designmentioning

confidence: 99%

A Novel Testing Method for the Radiometric Responsivity of Satellite Cameras

Yang,

Chen,

Nan

2023

J. Phys.: Conf. Ser.

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“…Pesta et al [25] introduced a method that corrects the image using a 45° inclination angle. Zhang and Li [27], among others, employed a least significant difference-based method [28] to detect diagonal lines within side-slither data, by performing a statistical analysis to determine the optimal slope and subsequently calculating the offsets for each column of the image. Li et al [29] further optimized the process by incorporating sensor geometric correction principles, resulting in more accurate standardized side-slither data.…”

mentioning

confidence: 99%

An Improved Side-Slither Relative Radiometric Calibration Method for WFV Satellite: Taking HY1D CZI as an Example

Chen,

Wang,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Wide field of view (WFV) push-broom optical satellites can acquire ground images over hundreds to thousands of kilometers in a single pass, thanks to their large field of view cameras consisting of tens or even hundreds of thousands of detectors, which also makes their relative radiometric correction (RRC) difficult. Existing side-slither-based RRC approaches overlook the distinct structural design of WFV push-broom optical satellite cameras, thus failing to rectify non-linear distortions in side-slither images stemming from the non-flat arrangement of camera detectors. Furthermore, these methods necessitate corresponding pixels (pixels of same ground object) covering the entire field of view (FOV) in side-slither images. However, the brief duration of side-slither imaging makes it unfeasible to cover the entire FOV with calibration data. To address these issues, we propose a novel RRC approach for WFV push-broom optical satellites, achieved based on a thorough analysis of the unique structural traits of WFV push-broom optical cameras, enabling precise standardization of the non-linear distortions in side-slither data. Additionally, a local-to-global side-slither calibration strategy is proposed to obviate the requirement for corresponding pixels to cover the entire FOV in calibration data. Experiments using the Haiyang-1D Coastal Zone Imager (HY-1D CZI) satellite indicate that our method effectively rectified non-linear distortions in side-slither data and evident RRC accuracy improvement with that of existing methods can be obtained.Index Terms-relative radiometric calibration (RRC), sideslither, wide field of view, HY-1D CZI I. INTRODUCTION emote-sensing satellites have become an indispensable means of acquiring extensive ground information, with the quality of their image products largely depending on the design of the optical imaging system and subsequent radiometric calibration. Nowadays, charge-coupled devices (CCDs) are frequently integrated into optical imaging systems, offering push-broom and whisk-broom imaging modes as alternatives. In practice, push-broom optical sensors are predominant in this field. Linear array push-broom sensors are composed of a group of independent detectors. When provided with the same radiance input, the detectors should ideally yield Manuscript received XXX. revised XXX, XXX.

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Continuous Multi-Angle Remote Sensing and Its Application in Urban Land Cover Classification

et al. 2021

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Because of the limitations of hardware devices, such as the sensors, processing capacity, and high accuracy altitude control equipment, traditional optical remote sensing (RS) imageries capture information regarding the same scene from mostly one single angle or a very small number of angles. Nowadays, with video satellites coming into service, obtaining imageries of the same scene from a more-or-less continuous array of angles has become a reality. In this paper, we analyze the differences between the traditional RS data and continuous multi-angle remote sensing (CMARS) data, and unravel the characteristics of the CMARS data. We study the advantages of using CMARS data for classification and try to capitalize on the complementarity of multi-angle information and, at the same time, to reduce the embedded redundancy. Our arguments are substantiated by real-life experiments on the employment of CMARS data in order to classify urban land covers while using a support vector machine (SVM) classifier. They show the superiority of CMARS data over the traditional data for classification. The overall accuracy may increase up to about 9% with CMARS data. Furthermore, we investigate the advantages and disadvantages of directly using the CMARS data, and how such data can be better utilized through the extraction of key features that characterize the variations of spectral reflectance along the entire angular array. This research lay the foundation for the use of CMARS data in future research and applications.

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On-orbit relative radiometric calibration of optical video satellites without uniform calibration sites

Cited by 5 publications

References 22 publications

A Novel Testing Method for the Radiometric Responsivity of Satellite Cameras

A Novel Testing Method for the Radiometric Responsivity of Satellite Cameras

An Improved Side-Slither Relative Radiometric Calibration Method for WFV Satellite: Taking HY1D CZI as an Example

Continuous Multi-Angle Remote Sensing and Its Application in Urban Land Cover Classification

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