一种多维高光谱图像拼接方法及其采集系统

Chen Yuan, Mei Zhou, Li Sun, Song Qiu, Qingli Li
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引用次数: 2

摘要

高光谱图像结合了光谱信息和空间信息,可以为研究人员提供更详细的信息。本文提出了一种多维高光谱图像拼接方法来拼接高光谱图像。该方法将单幅灰度图像的纹理信息、高光谱图像的空间信息和采集过程中采集到的位置信息相结合。将该方法应用于医学高光谱图像的拼接,实验结果证明了该方法与其他单维方法相比的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-Dimensional Hyperspectral Image Mosaic Method and its Acquisition System
With the combination of both spectral and spatial information, hyperspectral images can offer much detailed information for researchers. In this paper, a multi-dimensional hyperspectral image mosaic method has been proposed to stitch hyperspectral images. This method combines texture information of the single gray image, spatial information of the hyperspectral image and the position information gathered during the acquisition process. We apply this method to the medical hyperspectral image stitch and the experimental results prove the accuracy of this method compared to other single-dimensional methods.
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