Observation angle normalization method for satellite remote sensing noctilucent radiance

Abstract

The invention relates to an observation angle normalization method for satellite remote sensing noctilucent radiance. Firstly, a zenith-radiance quadratic (ZRQ) model between noctilucent radiance and an observation zenith angle is established, a coefficient of a quadratic function is solved by adopting a least square method, and then the observed noctilucent radiance is decomposed into a product of the noctilucent radiance and the quadratic function value when the zenith angle is 0 degree based on the ZRQ model; and the decomposed quadratic function coefficient is solved by adopting a least square method, the ratio of the noctilucent radiance obtained by the current sensor to the quadratic function value is calculated, the noctilucent radiance when the zenith angle is 0 degree is solved , and then the angle effect of the noctilucent radiance is eliminated. According to the method, the noctilucent radiance angle normalization model is constructed based on the ZRQ model, time sequence fluctuation caused by factors such as human activities and sensor measurement errors is considered, parameters are solved by adopting model fitting twice continuously, the precision of angle normalization is improved, and noctilucent radiance angle normalization in a long-time coverage range can be realized.

Description

technical field [0001] The invention belongs to the application of a statistical regression model in the field of anisotropy elimination of night light remote sensing images, in particular to an observation angle normalization method for satellite remote sensing night light radiance. Background technique [0002] Night light remote sensing is to obtain the visible light information emitted by the ground surface when there is no cloud at night. Through the night light, human gathering areas can be found and the surface light intensity information can be recorded. In turn, the night light remote sensing images can indirectly reflect the behavior and spatial distribution of residents in cities and towns. Deeply mining the dynamic change law of the time series of luminous radiance plays an important role in accurately monitoring the urbanization process, power supply, and evaluating major emergencies such as natural disasters. [0003] With the continuous development of remote s...

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Problems solved by technology

[0006] Based on previous studies, the current research on angular anisotropy is mainly aimed at remote sensing products of surface reflectance, and rarely considers the angular anisotropy of luminous images generated by active light sources, and most of the current research on luminous remote sensing focuses on the process of urbanization The application in fields such as socioeconomic parameter estimation ignores the uncertainty and ineffectiveness of the quality of the data itself, which leads to deviations in the analysis results

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