文件名称:HighResolutionImagingSpectrometer
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- 2012-11-26
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说明了HR IS 相邻光谱通道图像数据具有高度的相关性, 提出了基于这种特
性和数据插值的畸变像元相关校正方法, 该方法分为两个步骤, 第一步, 利用图像相关性
对图像中的畸变像元进行检测, 目的在于减小图像数据的变化, 减少运算时间 第二步, 通
过曲面拟合方法, 对检测出的畸变像元强度进行校正。实验表明该校正方法, 具有很好的
效果, 并应用到了实际的HR IS 数据处理中。-HR IS shows adjacent channel spectral image data with a high degree of relevance, based on such characteristics and data interpolation pixel related distortion correction method, the method is divided into two steps, first step, the relevance of the use of images of image pixels to detect distortion of the purpose of reducing the image data changes, the second step to reduce the computing time, by surface fitting methods, the distortion of the detected pixel intensity correction. Experiments show that the school is way to have good results, and applied to the actual HR IS data processing.
性和数据插值的畸变像元相关校正方法, 该方法分为两个步骤, 第一步, 利用图像相关性
对图像中的畸变像元进行检测, 目的在于减小图像数据的变化, 减少运算时间 第二步, 通
过曲面拟合方法, 对检测出的畸变像元强度进行校正。实验表明该校正方法, 具有很好的
效果, 并应用到了实际的HR IS 数据处理中。-HR IS shows adjacent channel spectral image data with a high degree of relevance, based on such characteristics and data interpolation pixel related distortion correction method, the method is divided into two steps, first step, the relevance of the use of images of image pixels to detect distortion of the purpose of reducing the image data changes, the second step to reduce the computing time, by surface fitting methods, the distortion of the detected pixel intensity correction. Experiments show that the school is way to have good results, and applied to the actual HR IS data processing.
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基于HRIS图像数据特征的畸变像元相关校正.pdf