Thermal infrared hyperspectral emissivity simulation method and system

Abstract

The invention discloses a thermal infrared hyperspectral emissivity simulation method and a system, and the method comprises the following steps: extracting ground object feature parameters of all picture elements in TASI (thermal airborne spectrographic imager) multi-spectral emissivity original image data by utilizing image ground object continuous spectral data, further constructing a reconstruction and transformation matrix by utilizing the ground object feature parameters, performing spectral reconstruction and simulating and getting thermal infrared hyperspectral information. With the adoption of the method and the system, the continuous thermal infrared hyperspectral information with higher spectral resolution can be simulated and obtained from the thermal infrared TASI multi-spectral emissivity data and other thermal infrared multi-spectral satellite remote sensing data, thereby getting the thermal infrared data with the high spectral resolution while meeting high spatial resolution and high signal-to-noise ratio of the original multi-spectral remote sensing data.

Description

Technical field [0001] The invention relates to the technical field of thermal infrared remote sensing, in particular to a thermal infrared hyperspectral emissivity simulation method and system. Background technique [0002] Thermal infrared remote sensing is a general term for remote sensing technology that detects the thermal radiation energy of an object through infrared sensitive elements and displays the target's radiation temperature or thermal field image. The observation spectrum ranges from 8.0 to 14 μm. At present, thermal infrared remote sensing has been widely used in farmland evapotranspiration, soil moisture and drought, urban thermal environment remote sensing, and forest fire monitoring. However, due to the limitation of sensor technology, the spatial resolution and spectral resolution of currently in-orbit thermal infrared multispectral sensors are both low. The application of thermal infrared remote sensing continuously puts forward higher requirements for ther...

AI Technical Summary

Problems solved by technology

[0011] The technical problem to be solved by the present invention is to provide a thermal infrared hyperspectral emissivity spectral simulation method based on thermal airborne spectral imager (Thermal Airbome Spectrographic Imager, TASI) multi-spectral thermal infrared emissivity data for the spectral range of 8.0 ~ 14 μm And system, to overcome the limitations of sensor technology in the acquisition of remote sensing data in the prior art, and the problem that high spectral resolution, high spatial resolution and high signal-to-noise ratio cannot be guaranteed at the same time, and provide thermal infrared hyperspectral emission for load index demonstration Rate Simulation Data Source

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