顾及光照变化与BRDF修正的无人机载面阵高光谱高精度辐射校正模型与方法研究

高光谱遥感数据高精度辐射校正是定量化应用必要前提和基础。无人机载高光谱应用的普及和高光谱成像仪的发展，对其所获取数据辐射校正精度提出了更高的要求。本课题基于可见光-近红外无人机载面阵高光谱遥感数据辐射校正现状，针对无人机载面阵高光谱成像系统长时间和大成像几何角度作业状态下光照和大气变化造成的数据辐射特性不一致，以及地表二向性造成辐射校正精度难以提高的问题，从时间差异、空间差异两个角度优化辐射校正模型。研究内容主要包括时间维光照及大气变化修正模型构建方法研究、空间维成像几何与高程信息逐像元获取方法研究，以及无人机载面阵高光谱高精度辐射校正方法研究。通过连续实测下行辐照度、精准提取空间参量等方式，提升数据前端辐射一致性，并改进辐射传输模型和BRDF模型参数构建方法。通过以上研究，最终形成一套较为完整的辐射校正方案，提升辐射校正精度，为无人机载面阵高光谱遥感数据高精度定量化预处理和应用奠定基础。

High precision radiometric correction of hyperspectral remote sensing data is the necessary prerequisite and foundation for quantitative application. The popularization of UAV (Unmanned aerial vehicles) hyperspectral remote sensing applications and the development of hyperspectral imager have put forward higher requirements for the radiometric correction accuracy of the acquired data. This study is based on UAV hyperspectral remote sensing data of VNIR. Aiming at the inconsistency of data radiation characteristics caused by illumination and atmospheric changes under the operating conditions of long time and large imaging Angles, and the difficulty of improving the precision of radiometric correction caused by surface duality. The radiometric correction model is optimized from two angles: time difference and space difference. The research contents mainly include time dimensional illumination and atmospheric change correction model construction method research, space dimensional imaging geometry and elevation information pixel by pixel acquisition method research, as well as UAV airborne array hyperspectral high-precision radiometric correction method research. Through continuous measurement of downlink irradiance and accurate extraction of spatial parameters, the consistency of radiation in the front end of data was improved, and the parameter construction method of radiation transfer model and BRDF model was improved. Through the above research, a relatively complete radiometric correction scheme is finally formed to improve the accuracy of radiometric correction and lay a foundation for high-precision quantitative preprocessing and application of UAV hyperspectral remote sensing data.