The imaging spectrometer has the characteristics of spectral integration, which is loaded on the UAV remote sensing system, and will bring new technical means for remote sensing data acquisition. At present, the lack of the research on the calibration field construction and the theoretical method of the field spectrum and radiation calibration is specially aimed at the aerial remote sensing, especially the non entry remote sensing load, which seriously affects the quantitative level of the aerial remote sensing data. Therefore, it is of great scientific significance and application value to establish an integrated verification field of aerial remote sensing with unmanned aerial vehicle (UAV) as a platform. (1) it is the first time to realize the external spectrum and radiation calibration of the unmanned aerial remote sensing load for the first time; (2) it provides a test field for the unmanned aerial vehicle (UAV) calibration simulation flight in China's space remote sensing equipment; (3) It provides a new way for integrated verification of aerospace load index. Supported by the State Key 863 project, this paper focuses on the refinement of UAV remote sensing load comprehensive verification technology.

The imaging spectrometer has the characteristics of spectral integration, which is loaded on the UAV remote sensing system, and will bring new technical means for remote sensing data acquisition. At present, the lack of the research on the calibration field construction and the theoretical method of the field spectrum and radiation calibration is specially aimed at the aerial remote sensing, especially the non entry remote sensing load, which seriously affects the quantitative level of the aerial remote sensing data. Therefore, it is of great scientific significance and application value to establish an integrated verification field of aerial remote sensing with unmanned aerial vehicle (UAV) as a platform. (1) it is the first time to realize the external spectrum and radiation calibration of the unmanned aerial remote sensing load for the first time; (2) it provides a test field for the unmanned aerial vehicle (UAV) calibration simulation flight in China's space remote sensing equipment; (3) It provides a new way for integrated verification of aerospace load index. Under the support of the national key 863 subject, this paper is based on the integrated verification field technology of unmanned aerial vehicle (UAV) remote sensing load, and carries out the research work around the fine and quantitative evaluation of the performance index of unmanned aerial imaging spectrometer.

The main work and achievements of the paper include the following aspects:

(1) in view of the technical indexes of unmanned aerial imaging spectrometer, the natural target area is selected and developed, and the multilevel radiation characteristic target and spectral target with strict spectral characteristics are developed, which provides technical support for the establishment of the first unmanned aerial vehicle (UAV) aerial remote sensing load verification field.

(2) systematic demonstration and establishment of a mathematical model for spectral calibration of external field spectra of characteristic absorption method, a method to optimize the inversion of spectral parameters of two dimensional cost function is proposed, and the inversion efficiency is increased by nearly 100 times. The quantitative evaluation method of the spectral calibration for external field is studied. The accuracy of the spectral calibration accuracy is aimed at the central wavelength shift and the bandwidth variation. For the first time, the theoretical expression of the combination of them is given.

(3) in view of the absolute radiation calibration of the site, the theoretical model and method of site radiation calibration are studied, the correlation of various factors is analyzed, the uncertainty factors are synthesized, the sensitivity analysis of different error sources is carried out respectively, and the comprehensive uncertainty of the absolute radiation calibration is better than the mutual independent condition. The physical explanation of the total uncertainty and the proof of the test.

(4) through 2 years of multi load unmanned aerial vehicle (UAV) multi load calibration flight, the fine calibration of unmanned aerial vehicle (UAV) remote sensing load is realized for the first time and the validity of the above calibration theory and method is verified. The calibration accuracy of the external field spectra of the visible and near infrared imaging spectrometer with a bandwidth of about 6nm is better than that of 0.5nm: the total uncertainty of the external field absolute radiation calibration is better than 6%.