Local Imaging from Global Measurements Applied to Selective-Spectral Imaging

机译：来自全局测量的局部成像应用于选择性光谱成像

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In this paper we describe the algorithm for local image reconstructions from global measurements on the Focal Plane Array (FPA). The global measurements may come from a multiplexed imaging and/or convolution-based sampling model. The algorithm consists of scanning a rectangular segment on the FPA data and reconstructing the image on that segment using a modified Wiener Filter by adapting the measurements on the data via a linear operator. This method is essential in the reconstruction of large format images from large data samples. In particular, in this paper the method is applied to multiplexed, multispectral imaging from a single measurement on the FPA.

机译：在本文中，我们描述了根据焦平面阵列（FPA）上的全局测量结果进行局部图像重建的算法。全局测量可以来自基于复用成像和/或基于卷积的采样模型。该算法包括扫描FPA数据上的矩形段，并使用修改后的Wiener滤波器通过线性算子调整数据上的测量值，从而在该段上重建图像。从大型数据样本重构大幅面图像时，此方法必不可少。特别地，在本文中，该方法被应用于基于FPA的单次测量的多路复用多光谱成像。

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来源
《Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XX》|2014年|90881B.1-90881B.9|共9页
会议地点 Baltimore MD(US)
作者
Johann Veras; Robert Muise; David Twede;
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作者单位

Lockheed Martin, 5600 W Sand Lake RD, MP 450, Orlando, FL, USA,University of Central Florida, 4000 Central Florida Blvd., Orlando, FL, USA;

Lockheed Martin, 5600 W Sand Lake RD, MP 450, Orlando, FL, USA;

Lockheed Martin, 5600 W Sand Lake RD, MP 450, Orlando, FL, USA;

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原文格式 PDF
正文语种 eng
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关键词
Selective spectral imaging; compressed sensing; Wiener filter; multiplexed imaging; deconvolution; image restoration; minimum mean square error;

机译：选择性光谱成像；压缩感测维纳过滤器；多重成像去卷积图像恢复；最小均方误差;

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Local Imaging from Global Measurements Applied to Selective-Spectral Imaging

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