Hyperspectral image compressive projection algorithm
Hyperspectral image compressive projection algorithm
复制标题
高光谱图像压缩投影算法
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
D. Allen
中科院分区：
文献类型：
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作者：
J. Rice;D. Allen
我们描述了一种压缩投影算法，并通过实验评估其与高光谱图像投影仪（HIP）一起使用时的性能。HIP由NIST开发，用于高光谱和多光谱成像仪的系统级性能测试。它将二维图像投射到被测单元（UUT）中，其中每个像素可以具有独立可编程的任意频谱。为了有效地将单帧动态逼真的高光谱图像通过准直器投射到UUT，已经开发了一种压缩算法，其中包含该帧图像立方体的一系列丰度图像和相应的端元光谱首先使用自动端元查找算法（如顺序最大角度凸锥（SMACC）端元模型）进行计算。然后，在UUT的单帧曝光时间内，将这些端元光谱与HIP空间引擎上的丰度图像同步顺序投影到HIP光谱引擎上。由UUT捕获的集成空间图像是多个图像的端元加权和，从而形成该帧的数据立方体。压缩投影比单色投影能够投影更小的宽带光谱集，从而利用了HIP光谱引擎固有的多路复用优势。因此，辐射亮度和投影帧率得到了提高。在本文中，我们使用可视面包板HIP来实验评估压缩投影算法的性能。
We describe a compressive projection algorithm and experimentally assess its performance when used with a Hyperspectral Image Projector (HIP). The HIP is being developed by NIST for system-level performance testing of hyperspectral and multispectral imagers. It projects a two-dimensional image into the unit under test (UUT), whereby each pixel can have an independently programmable arbitrary spectrum. To efficiently project a single frame of dynamic realistic hyperspectral imagery through the collimator into the UUT, a compression algorithm has been developed whereby the series of abundance images and corresponding endmember spectra that comprise the image cube of that frame are first computed using an automated endmember-finding algorithm such as the Sequential Maximum Angle Convex Cone (SMACC) endmember model. Then these endmember spectra are projected sequentially on the HIP spectral engine in sync with the projection of the abundance images on the HIP spatial engine, during the singleframe exposure time of the UUT. The integrated spatial image captured by the UUT is the endmember-weighted sum of the abundance images, which results in the formation of a datacube for that frame. Compressive projection enables a much smaller set of broadband spectra to be projected than monochromatic projection, and thus utilizes the inherent multiplex advantage of the HIP spectral engine. As a result, radiometric brightness and projection frame rate are enhanced. In this paper, we use a visible breadboard HIP to experimentally assess the compressive projection algorithm performance.