A satellite on-orbit signal-to-noise ratio test method based on staring imaging

Abstract

The invention relates to a staring-imaging-based in-orbit signal-to-noise ratio test method of a satellite. Repeated imaging of an earth surface uniform region is carried out by a satellite with an ultra-high time resolution and a high spatial resolution; on the premise that the illumination condition and the surface radiation characteristic are consistent basically, statistics of mean values of detector cells and standard differences of the imaging at the uniform region is carried out and ratios of the mean values and to standard differences are used as pixel signal to noise ratios; and then a mean value of a plurality of pixel signal to noise ratios is used as an image signal-to-noise ratio. With the method, an influence caused by inconsistency of the pixel response spaces can be eliminated. When statistics of the standard differences of imaging data of each pixel at multiple times is carried out, uncertainty of repeated sampling is mainly reflected; and thus the noises can be effectively retrained in terms of numerical value and the actual signal to noise ratio of the satellite image can be reflected, thereby evaluating the remote sensing satellite imaging capability of the geosynchronous orbit objectively. Therefore, the method has the practical application value in development of in-orbit testing and in-orbit operation state image quality evaluation in satellite ground system engineering.

Description

technical field [0001] The invention belongs to the field of remote sensing evaluation, and relates to a satellite on-orbit signal-to-noise ratio test method based on staring imaging. Background technique [0002] Signal-to-noise ratio (SNR) is a key indicator of remote sensing image quality evaluation. The current mainstream remote sensing image signal-to-noise ratio measurement method can be called the single-scene uniform area method, such as the reference "GJB 5088-2002 Resource satellite on-orbit image Quality Evaluation Method”; “QJ20099.1-2012 Land Observation Satellite Remote Sensing Image Quality Evaluation Method”; mentioned in “Gaofen-1 Satellite Image Quality On-orbit Test Evaluation”, it is necessary to first artificially select a uniform sample area, and then calculate the sample area The area mean and standard deviation, the ratio of the two is the signal-to-noise ratio of the sample area. The above method is very suitable for sun-synchronous orbit remote sen...

AI Technical Summary

Problems solved by technology

However, the above-mentioned big data statistical methods cannot be applied to the preprocessing of geosynchronous orbit satellites, and there are practical difficulties in the inconsistency of the on-orbit measurement pixel response space, which will lead to low signal-to-noise ratio indicators and unobjective evaluation. Therefore, it is urgent to study and propose effective methods. solution

Images