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为了有效、合理、客观地评价高光谱卫星数据质量,充分发挥其在矿产及能源普查方面的作用,进行了一系列研究.围绕最具代表性的3种载荷指标(几何空间分辨率、波谱分辨率及信噪比)的不同尺度,从均方差异常、直方图异常、数据相关性异常、反射率曲线异常、信噪比参量以及该模拟数据的实际应用(蚀变信息提取和矿物填图)等多角度入手,系统而全面地分析了模拟星载Hymap高光谱数据针对不同指标与尺度的影像质量效果.研究结果表明,这3种载荷指标之间相互制约,并随着空间分辨率和波谱分辨率的提高将降低图像的信噪比.当几何空间分辨率为15m、波谱分辨率为15~20nm,同时信噪比≥350时,就可以满足常规的矿物填图要求.
In order to effectively, reasonably and objectively evaluate the hypersatellite data quality and give full play to its role in the mineral and energy census, a series of researches have been carried out. Based on the three most representative load indicators (geometric spatial resolution, spectral resolution Rate and signal-to-noise ratio (SNR)). From the mean square deviation anomaly, the histogram anomaly, the data correlation anomaly, the reflectivity curve anomaly, the signal to noise ratio parameters and the practical application of the simulation data (alteration information extraction and mineral mapping) And other perspectives, the image quality effects of simulated Hymap hyperspectral data on different indices and scales were systematically and comprehensively analyzed.The results show that the three kinds of load indexes are mutually restricted, and with the spatial resolution and spectrum When the resolution is 15m, the spectral resolution is 15 ~ 20nm and the SNR is ≥350, the conventional mineral mapping can be satisfied.