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Emission Spectroscopic Boundary Layer Investigation during Ablative Material Testing in Plasmatron

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[HJ1A/HSI radiometric calibration and spectrum response function sensitivity analysis].

Hai-liang Gao¹, Xing-fa Gu, Tao Yu

¹State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China. jlu_ghl@126.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|February 3, 2011

Summary

A new calibration method for China's first spaceborne hyperspectrum sensor (HSI) on HJ-1A satellite was developed, neglecting spectral response functions. This method ensures calibration accuracy meets application requirements for most channels.

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Area of Science:

Remote Sensing
Optical Engineering
Satellite Technology

Context:

The HJ-1A satellite carries China's first spaceborne hyperspectrum sensor, the Hyper spectrum Imager (HSI).
Accurate on-orbit calibration is crucial for hyperspectral data usability.
Traditional calibration methods require detailed spectral response functions, which were unavailable for the HSI.

Purpose:

To develop and validate a modified calibration method for the HSI that does not rely on spectral response functions.
To assess the impact of spectral response functions on calibration accuracy for the HSI.
To determine if the proposed calibration method meets application requirements.

Summary:

A modified reflectance-based calibration method was developed for the HSI, omitting spectral response functions.
On-orbit calibration was performed using data from Dunhuang, August 2009.
Error analysis was conducted by constructing various spectral response functions, revealing minimal impact (<3%) for most channels.

Impact:

The developed calibration method provides accurate results suitable for HSI applications.
This research enables the effective utilization of data from China's first spaceborne hyperspectrum sensor.
The findings contribute to advancing calibration techniques for hyperspectral imagers in remote sensing.