School of Instrumentation Science and Opto-Electronic Engineering, Beihang University, Beijing 100191, China.
School of Engineering, Newcastle University, Newcastle NE1 7RU, UK.
Sensors (Basel). 2019 Jan 15;19(2):328. doi: 10.3390/s19020328.
To analyze the influence factors of hyperspectral remote sensing data processing, and quantitatively evaluate the application capability of hyperspectral data, a combined evaluation model based on the physical process of imaging and statistical analysis was proposed. The normalized average distance between different classes of ground cover is selected as the evaluation index. The proposed model considers the influence factors of the full radiation transmission process and processing algorithms. First- and second-order statistical characteristics (mean and covariance) were applied to calculate the changes for the imaging process based on the radiation energy transfer. The statistical analysis was combined with the remote sensing process and the application performance, which consists of the imaging system parameters and imaging conditions, by building the imaging system and processing models. The season (solar zenith angle), sensor parameters (ground sampling distance, modulation transfer function, spectral resolution, spectral response function, and signal to noise ratio), and number of features were considered in order to analyze the influence factors of the application capability level. Simulated and real data collected by Hymap in the Dongtianshan area (Xinjiang Province, China), were used to estimate the proposed model's performance in the application of mineral mapping. The predicted application capability of the proposed model is consistent with the theoretical analysis.
为分析高光谱遥感数据处理的影响因素，定量评估高光谱数据的应用能力，提出了一种基于成像物理过程和统计分析的综合评价模型。选择不同地物类别的归一化平均距离作为评价指标。所提出的模型考虑了全辐射传输过程和处理算法的影响因素。基于辐射能量传输，应用一阶和二阶统计特征（均值和协方差）来计算成像过程的变化。通过构建成像系统和处理模型，将统计分析与遥感过程和应用性能（包括成像系统参数和成像条件）相结合。考虑季节（太阳天顶角）、传感器参数（地面采样距离、调制传递函数、光谱分辨率、光谱响应函数和信噪比）以及特征数量，以分析影响应用能力水平的因素。利用 Hymap 在新疆东天山地区采集的模拟和真实数据，估计了该模型在矿物制图应用中的性能。所提出模型的预测应用能力与理论分析一致。
