A Spectral Response Acquisition Method of a Broadband Satellite Remote Sensor Operating in Orbit

Abstract

The spectral response of a remote sensor is a necessary parameter for evaluating the spectral performance of the remote sensor, and represents the ability of the remote sensor in converting a ground object radiant quantity received by the remote sensor into the key parameter of a remote sensing signal. The spectral response is necessary for the quantitative treatment and application of remote sensing data. According to the technical scheme of the invention, a spectral response obtaining method for a broadband satellite remote sensor during the in-orbit operation is theoretically proposed, and the method does not depend on the test data of a laboratory and satellite-borne spectral calibration data. According to the technical scheme of the invention, the imaging mechanism and the radiation transmission process of the remote sensor are analyzed. In combination with an optimization calculation method, a spectral response calculation model for the broadband satellite remote sensor is established. Meanwhile, based on a ground object spectrum library and an analog image, the data calculation requirement and the calculation rule of the model are analyzed. Based on synchronous high-spectrum remote sensing images, a calculation sample which meets the calculation requirement of the model is obtained. Finally, the mathematical calculation for the spectral response of the broadband satellite remote sensor is realized.

Description

technical field [0001] The invention relates to a spectral response acquisition method for a wide-band satellite remote sensor operating in orbit, and belongs to the technical field of "quantitative remote sensing" in the subject of "photogrammetry and remote sensing". Background technique [0002] With the development of remote sensing and its related technologies becoming more and more mature, the application of remote sensing has also changed from qualitative to quantitative. Quantitative remote sensing is the demand and inevitable result of the development of remote sensing. The premise and foundation of quantitative remote sensing is the quantification of remote sensing data, that is, to establish the quantitative relationship between the remote sensing signal output by the remote sensor and the radiation reflected and emitted by the surface material. The energy is finally quantified into a remote sensing signal. Therefore, the spectral response of the remote sensor is...

AI Technical Summary

Problems solved by technology

[0005] For broadband satellite remote sensors, the assumption that its spectral response does not change throughout its lifetime has some shortcomings and problems in practical applications: First, this assumption does not hold in the strict sense

In fact, due to the aging of instrument components and the interference of external factors after the launch of the satellite, the performance and sensitivity of the remote sensor continue to attenuate and decline

Secondly, in special cases, some remote sensors did not fully measure their spectral response before the satellite was launched, which greatly limited the quantitative processing and application of remote sensing data.

Images