Yokoya Naoto, Miyamura Norihide, Iwasaki Akira
Department of Aeronautics and Astronautics, University of Tokyo, Tokyo, Japan.
Appl Opt. 2010 Aug 20;49(24):4568-75. doi: 10.1364/AO.49.004568.
Hyperspectral imaging sensors suffer from spectral and spatial misregistrations due to optical-system aberrations and misalignments. These artifacts distort spectral signatures that are specific to target objects and thus reduce classification accuracy. The main objective of this work is to detect and correct spectral and spatial misregistrations of hyperspectral images. The Hyperion visible near-infrared subsystem is used as an example. An image registration method based on phase correlation demonstrates the accurate detection of the spectral and spatial misregistrations. Cubic spline interpolation using estimated properties makes it possible to modify the spectral signatures. The accuracy of the proposed postlaunch estimation of the Hyperion characteristics is comparable to that of the prelaunch measurements, which enables the accurate onboard calibration of hyperspectral sensors.
由于光学系统的像差和未对准，高光谱成像传感器存在光谱和空间配准误差。这些伪影会扭曲目标物体特有的光谱特征，从而降低分类精度。这项工作的主要目标是检测并校正高光谱图像的光谱和空间配准误差。以Hyperion可见近红外子系统为例。一种基于相位相关的图像配准方法证明了能够准确检测光谱和空间配准误差。利用估计属性的三次样条插值可以修改光谱特征。所提出的Hyperion特性的发射后估计精度与发射前测量的精度相当，这使得高光谱传感器能够进行精确的机载校准。
