A temperature and emissivity retrieval method for airborne thermal infrared hyperspectral imagery

Abstract

The invention discloses a temperature / emissivity inversion method of aerial thermal infrared hyperspectral image, comprising: using data quantitative analysis to carry out data optimization processing, through the radiation calibration accuracy of each band of data, NESR noise size and atmospheric strong absorption Line calculation and analysis, so as to select the optimal band data and eliminate the influence of problematic bands on the inversion process; in order to overcome the dependence of airborne thermal infrared hyperspectral data atmospheric correction on synchronous atmospheric sounding Atmospheric grid data is analyzed and fused through time and space to obtain profile information that better characterizes the atmospheric conditions at the time of data collection; the introduction of an empirical constraint model overcomes the problem of sensitivity to noise in the commonly used smoothness physical constraints, and can be used when the data noise is high. Ideal results are obtained on the aviation data. The invention takes Hyper-Cam aerial data as the experimental object, and obtains good inversion results, which provides a reference for the emissivity and temperature inversion of aerial thermal infrared hyperspectral images.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image information extraction, in particular to an airborne thermal infrared hyperspectral image temperature / emissivity inversion method based on the spatio-temporal analysis fusion of atmospheric profiles and an empirical constraint model. Background technique [0002] Thermal infrared remote sensing images contain two important physical quantities of surface temperature and emissivity. Compared with space-borne thermal infrared multispectral images, airborne thermal infrared hyperspectral images can obtain more refined ground object spectral information and spatial information, which is beneficial to Extract more accurate surface temperature and emissivity information from imagery. However, the extraction of temperature emissivity from airborne thermal infrared hyperspectral images faces the following problems: (I) Due to the complexity of the imaging environment of the airborne platform a...

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Problems solved by technology

[0004] What the present invention is aimed at is aerial thermal infrared Fourier transform imaging spectrometer image, proposes a kind of temperature / emissivity inversion method based on atmospheric profile fusion and empirical constraint model, has following three salient features: (1) based on data Quantitative analysis optimizes the data processing, and selects the optimal band data by analyzing the radiation calibration, noise level and atmospheric strong absorption line of each band of the data, eliminating the influence of problematic bands on the inversion process; (II) Based on the spatio-temporal analysis and fusion of atmospheric data, the profile information that better characterizes the atmospheric conditions at the time of data collection is obtained, thereby overcoming the heavy dependence of the atmospheric compensation process on synchronous atmospheric sounding data; (III) for the physical smoothness constraints The index is sensitive to data noise, resulting in low inversion accuracy. The empirical constraint model is introduced, which can obtain ideal results on aviation data with high data noise.

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