摘要
研究了HJ-1 A星HSI数据2级产品的数据预处理流程及相关算法,包括绝对辐亮度值转换、条纹去除、大气校正及几何纠正,得到了具有精确地理位置信息的地表光谱反射率图像;基于相同位置同期的一景Hyperion数据标准化处理流程得到的地表反射率,进行了HSI数据的光谱模拟,并将模拟的地表反射率与真实HSI数据的地表反射率进行对比分析,评价本研究所采用预处理流程的有效性。研究结果表明:应用该流程处理的HSI数据地表反射率与模拟HSI的地表反射率平均相关系数为0.947,标准差为0.017,两种数据的光谱反射率变化表现出高度一致性;各波段模拟与真实HSI地表反射率差值的平均值和标准差都接近0值,说明本研究所发展的数据处理流程可以为HSI数据定量分析与应用提供参考。
To deal with the Level 2 HSI data from the newly - launched HJ - 1 A satellite, this paper introduced in details the entire flow and relevant algorithms for data preprocessing. The introduction includes calibration, vertical stripes elimination, and atmospheric correction geometric correction. Standard spectral refectance products with precise geo -locations were produced. Spectral reflectance data from EO - 1 Hyperion of close dates was used to simulate the band reflectance of HJ - 1 A HSI. Comparisons of spectral reflectance data between simulated and actual HJ - 1 A HSI were made to validate the effect of the data preprocessing. The average correlation coefficient of spectral reflectance between actual and simulated HJ - 1 A HSI is 0. 947 with its standard deviation being 0. 017, suggesting a high consistency. The mean and standard deviation of differential bands between real and simulated HJ - 1 A HSI are close to 0. The result shows that the reflectance from HJ - 1 A HSI is consistent with that of simulated data from Hyperion, and hence the data processing flow could provide necessary support for quantitative use of HJ - 1 A HSI data.
出处
《国土资源遥感》
CSCD
2011年第1期77-82,共6页
Remote Sensing for Land & Resources
基金
HJ-1卫星数据应用研究专题(编号:2009A01A1000
2009A01A0900)
遥感科学国家重点实验室青年人才项目
中国科学院青年人才前沿领域专项项目(编号:08S01700CX)
中国科学院知识创新工程重大项目(编号:KSCX-YW-09-01)
国家青年自然科学基金项目(编号:NSFC40801144)
