Automatic unmanned target reflection spectrum characteristic observation system

Abstract

The invention provides an automatic unmanned target reflection spectrum characteristic observation system. The system comprises at least one automatic target reflection spectrum characteristic observation device, wherein the automatic target reflection spectrum characteristic observation device comprises a spectrometer and a data acquisition and control device, the data acquisition and control device is connected with the spectrometer, the spectrometer under the control of the data acquisition and control device is used for acquiring the data and further transmitting the acquired data to the data acquisition and control device, and the acquired data is stored through the data acquisition and control device. The system is advantaged in that the ground surface reflection radiance spectrum data under unmanned conditions can be automatically acquired, and a problem of manpower and material consumption during outfield scaling can be solved; the high-frequency ground surface reflection radiance spectrum data can be provided, and frequency of satellite load in-orbit radiation performance monitoring can be effectively improved; data inconsistency caused by operation habit difference of operators and difference of observation equipment can be solved, and nondeterminacy of remote sensing load radiation scaling is reduced.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to an unattended automatic observation system for target reflection spectrum characteristics. Background technique [0002] Remote sensing technology is the most effective technical means to quickly and dynamically obtain electromagnetic radiation information of large-scale targets, and then infer the physical properties and status of ground objects. Application prospects. With the continuous development of quantitative remote sensing applications, the requirements for accurate, reliable and consistent quantitative remote sensing products in various application fields are getting higher and higher. The current space-borne remote sensing load usually adopts photoelectric technology to convert the optical signal received by the sensor into an electrical signal and record it. Changes followed. For example, the U.S. EO-1 / Hyperion payload experienced an 8% drift in the visible l...

AI Technical Summary

Problems solved by technology

[0005] To sum up, the main technical defects of remote sensing payload calibration technology include: the current field calibration needs to carry out satellite synchronous field tests to obtain the spectral reflectance of the target surface, which is difficult to meet the requirements of the dynamic monitoring of satellite remote sensing payload performance for high-frequency surface target characteristics. Observation requirements; at present, manual hand-held field spectrometers are mainly used to collect surface reflectance, and differences in personnel operating habits and observation equipment lead to inconsistencies in data acquisition, resulting in increased uncertainty in load calibration; observation devices usually Arranged far away in the field, relying on manual copying of spectral data is time-consuming and laborious, and cannot meet the needs of real-time data release; At present, some tentative work has been carried out in the field of automatic target characteristics at home and abroad, but the collection of continuous spectral data has not yet been realized. Spectral interpolation is performed in subsequent data processing, which affects the accuracy of characteristic acquisition

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