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Cross-sensor registration optimization study

机译:跨传感器配准优化研究

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摘要

Multi-sensor and multi-spectral data fusion is becoming a very useful technology to solve a host of defense and commercial imaging and computer vision probems. Many of the techniques that can be used to fuse multi-sensor image data require co-registration or alighment of pixels between image bands. We have performed a non-arametric study to determine which multi-spectral bands should be chosen for optimum pixel level alighment. The data used during this study is composed of two aerial multi-spectral sensor ()one with 3 visible bands and one with 5 bands in the visible and short wave infrared and one synthetic aperture radar sensor in the X-band.
机译:多传感器和多光谱数据融合正在成为解决众多国防和商业成像以及计算机视觉探测器的一项非常有用的技术。可用于融合多传感器图像数据的许多技术都需要在图像带之间进行像素的共配准或高度调整。我们已经进行了一项非参数研究,以确定应该选择哪个多光谱带以获得最佳像素水平高度。在这项研究中使用的数据由两个空中多光谱传感器()组成,一个在可见光和短波红外中具有3个可见波段,一个在5波段中具有5个波段,而一个在X波段中具有一个合成孔径雷达传感器。

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