[Imaging spectrometry radiometric cross-calibration based on precise spectral response matching]

Area of Science:

• Remote Sensing
• Optical Engineering
• Data Calibration

Context:

• On-orbit calibration of satellite sensors is crucial for accurate data acquisition.
• Hyperspectral imagers (HSI) require precise radiometric calibration for quantitative analysis.
• Existing cross-calibration methods face challenges with significant band configuration differences.

Purpose:

• To develop an improved cross-calibration method for on-orbit satellite sensors.
• To address spectral response differences between sensors using deconvolution.
• To enhance the radiometric calibration accuracy and reliability of hyperspectral imagers.

Summary:

• The research details a novel cross-calibration technique using EO-1/Hyperion as a reference for HJ-1A/HSI.
• Precise spectral response matching via deconvolution significantly reduced radiometric calibration uncertainty for HSI.
• Calibration coefficients were obtained for all 115 HSI bands, with uncertainties ranging from 5% to 18%.

Impact:

• The proposed method improves calibration accuracy by approximately 50% compared to traditional approaches.
• This advancement meets the demands for quantitative applications using hyperspectral remote sensing data.
• It offers a reliable solution for hyperspectral sensor cross-calibration, enabling frequent updates of calibration coefficients.