Preprocessing of hyperspectral imagery with consideration of smile and keystone properties
Preprocessing of hyperspectral imagery with consideration of smile and keystone properties
复制标题
考虑微笑和梯形失真特性的高光谱图像预处理
DOI：
10.1117/12.870437
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
A. Iwasaki
中科院分区：
文献类型：
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作者：
N. Yokoya;N. Miyamura;A. Iwasaki
卫星高光谱成像传感器具有“微笑”和“梯形”特性，表现为光谱图像的畸变。微笑特性是中心波长偏移，梯形特性是带间配准不良。这些失真降低了频谱信息，降低了分类精度。此外，这些属性在启动后可能会发生变化。因此，在卫星高光谱图像的预处理中，除了辐射校正和几何校正外，微笑和梯形特性的星上校正也是一个重要问题。本文的主要目的是提出一种兼顾微笑和梯形特性的高光谱图像预处理原型。采用基于相位相关的图像配准方法检测光学特性。利用三次样条插值在光滑性和形状保持性之间的良好折衷，对谱进行了修正。利用EO-1卫星在过去9年中不同时间拍摄的图像进行的微笑和梯形畸变探测模拟表明，由于机载长期畸变，光学特性一直在变化。因此，星载光学特性应定期更新，并纳入未来卫星高光谱传感器的辐射和几何校正。该方法可以作为未来卫星高光谱传感器预处理的原型。
Satellite hyperspectral imaging sensors suffer from ''smile'' and ''keystone'' properties, which appear as distortions of spectrum images. The smile property is a center wavelength shift and the keystone property is a band-to-band misregistration. These distortions degrade the spectrum information and reduce classification accuracies. Furthermore, these properties may change after the launch. Therefore, in the preprocessing of satellite hyperspectral images, the onboard correction of the smile and keystone properties is an important issue as well as the radiometric and geometric correction. The main objective of this work is to propose the prototype of the preprocessing of hyperspectral image with consideration of smile and keystone properties. Image registration based on phase correlation is used for detecting the optical properties. Cubic spline interpolation is adopted to modify the spectrum because of its good trade-off between the smoothness and shape preservation. Smile and keystone detection simulation using the EO-1 Hyperion imagery taken at various times in the past nine years proved that the optical properties have been changing due to the onboard secular distortion. Therefore, onboard optical properties should be updated periodically and built into the radiometric and geometric corrections for future satellite hyperspectral sensors. The proposed method may be the prototype of the preprocessing of future satellite hyperspectral sensors.
DOI：
10.1109/ispacs.2006.364751
发表时间：
2006-12
期刊：
2006 International Symposium on Intelligent Signal Processing and Communications
影响因子：
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作者：
S. Nagashima;T. Aoki;T. Higuchi;K. Kobayashi
通讯作者：
S. Nagashima;T. Aoki;T. Higuchi;K. Kobayashi