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Orthogonal Subspace Projection Approach to Finding Signal Sources in Hyperspectral Imagery

机译:正交子空间投影方法在高光谱影像中寻找信号源

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The usefulness of orthogonal subspace projection (OSP) has been demonstrated in many applications. Automatic Target Generation Process (ATGP) was previously developed for automatic target recognition for Hyperspectral imagery by implementing a successive OSP. However, ATGP itself does not provide a stopping rule to determine how many signal sources present and need to be extracted in the image. This paper presents a new application of ATGP in determining the number of signal sources and finding these signal sources in the image at the same time. The idea is to categorize signal sources into target classes and background classes in terms of their inter-sample spectral correlation (ISSC). Two separate algorithms, unsupervised target sample generation (UTSG) and unsupervised background sample generation (UBSG) are developed for this purpose. The UTSG implements a sequence of successive OSP in the sphered hyperspectral data to determine the number of target signal sources whose ISSC are characterized by high order statistics (HOS) and find the target signal sources to at the same time. It is then followed by the UBSG which operates the ATGP on a space orthogonal to the subspace generated by the target samples to determine and find background signal sources. Both UTSG and UBSG are terminated by an effective stopping rule which can be used to estimate the virtual dimensionality (VD). Two data sets, synthetic image data and real image scenes are used for experiments. Experimental results demonstrate that the UTSG and UBSG are effective in extracting signal sources in various applications.
机译:正交子空间投影(OSP)的有用性已在许多应用中得到证明。自动目标生成过程(ATGP)以前是通过实施连续的OSP开发的,用于高光谱图像的自动目标识别。但是,ATGP本身并没有提供确定图像中存在多少信号源并需要将其提取的停止规则。本文介绍了ATGP在确定信号源数量并同时在图像中查找这些信号源的新应用。想法是根据样本间频谱相关性(ISSC)将信号源分为目标类别和背景类别。为此,开发了两种独立的算法,即无监督目标样本生成(UTSG)和无监督背景样本生成(UBSG)。 UTSG在球面高光谱数据中实现一系列连续的OSP,以确定其ISSC由高阶统计(HOS)表征的目标信号源的数量,并同时找到目标信号源。然后是UBSG,它在与目标样本生成的子空间正交的空间上操作ATGP,以确定并找到背景信号源。 UTSG和UBSG均由有效的停止规则终止,该规则可用于估计虚拟维数(VD)。实验使用了两个数据集,即合成图像数据和真实图像场景。实验结果表明,UTSG和UBSG可有效地提取各种应用中的信号源。

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