Aviation mid-infrared hyperspectral data temperature and emissivity inversion method

Abstract

The invention belongs to the technical field of remote sensing image processing, and particularly relates to an aviation mid-infrared hyperspectral data temperature and emissivity inversion method, which comprises the following steps: 1, preprocessing aviation mid-infrared hyperspectral remote sensing data to select a minimum noise wave band; 2, analyzing an intermediate infrared radiation transmission process, and deriving an intermediate infrared radiation transmission equation; 3, carrying out space-time interpolation by utilizing the atmospheric profile data to simulate each atmospheric parameter; 4, eliminating solar radiation and atmospheric thermal radiation effects according to an intermediate infrared atmospheric radiation transmission equation to obtain off-ground radiation; 5, iteratively eliminating downlink radiation in the ground clearance by using an NEM module to obtain the surface temperature and emissivity; 6, calculating the relative emissivity by using the RAT module, and keeping the emissivity spectrum shape inverted by the NEM module unchanged; and 7, acquiring the surface temperature and emissivity by using the empirical relationship between the emissivity spectrum shape parameters of the MMD module and the RAT module and the minimum value of the channel emissivity.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to an aerial mid-infrared hyperspectral data temperature and emissivity inversion method. Background technique [0002] The emissivity spectrum and temperature of ground objects obtained by inversion of thermal infrared data are extremely important for scientific research and practical applications. The emissivity of ground features is an important characteristic physical quantity of ground features, through which ground features can be identified and interpreted; temperature data is an important parameter for human beings to understand the characteristics and state of the earth's surface. By obtaining the specific surface type and biophysical composition Surface temperature, which allows the analysis of the energy balance characteristics of specific surface phenomena and processes. Compared with the rapidly changing emissivity and the temporal a...

AI Technical Summary

Problems solved by technology

The 3.5-4.1μm and 4.5-5μm bands are the two main atmospheric windows in the mid-infrared spectrum. The radiation received by the sensor is composed of uplink thermal radiation and solar radiation, downlink thermal radiation reflected by the ground, and solar and surface thermal radiation. The radiation principle is more complicated.

In addition, there is a coupling problem between surface temperature and emissivity (or ill-conditioned equation) in the temperature inversion of thermal infrared and mid-infrared data, that is, the apparent observations of N bands obtained by the sensor correspond to N+1 unknowns (including N channel emissivity and a surface temperature), resulting in an unsolvable system of equations

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