Research and Verification of Spatial Hyperspectral Data Processing Method

  • Yu WangEmail author
  • Wei Nian
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 209)


In Chinese new generation meteorological satellite, Hyperspectral greenhouse gas monitoring instrument is the first spectral observation load dedicated to the spectral detection of greenhouse gases, with the ability to track the total amount of greenhouse gases such as CO2, CH4 and CO in orbit. In order to realize high precision and quantitative remote sensing monitoring of greenhouse gases, the monitor should have the characteristics of high signal to noise ratio (SNR) when the signal is weak. Therefore, increasing the effective spectral information and eliminating the noise to increase the SNR is an important research content of the system.

In this paper, a set of on-board data processing method is proposed, which can effectively control the noise of electronic circuits and improve the SNR. The validity of the method is verified by analyzing and processing the data of the monitoring instrument, which provides a new idea and direction for the subsequent satellite application of hyperspectral observation load.


Hyperspectral Data processing Wavelet transform 


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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Key Laboratory for Advanced Optical Remote Sensing Technology of BeijingBeijing Institute of Space Mechanics and ElectricityBeijingChina

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