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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Recursive Automatic Target Generation Process in Subpixel Detection
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Recursive Automatic Target Generation Process in Subpixel Detection

机译：亚像素检测中的递归自动目标生成过程

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摘要

Automatic target generation process (ATGP) has been used in a wide range of applications in hyperspectral image analysis. It performs a sequence of orthogonal subspace projections to extract potential targets of interest. This letter presents a recursive version of the ATGP, which is referred to as the recursive ATGP (RATGP) and has three advantages over the ATGP as follows: 1) there is no need of inverting a matrix as the ATGP does for finding each new target; 2) there is a significant reduction in the computational complexity in the hardware design due to its recursive structure; and 3) there is an automatic stopping rule that can be derived by the Neyman–Pearson detection theory to terminate the algorithm.
机译：自动目标生成过程（ATGP）已在高光谱图像分析中广泛应用。它执行一系列正交子空间投影以提取感兴趣的潜在目标。这封信介绍了ATGP的递归版本，称为递归ATGP（RATGP），与ATGP相比，它具有以下三个优点：1）无需像ATGP那样对矩阵进行求反即可找到每个新目标; 2）由于其递归结构，大大降低了硬件设计的计算复杂度； 3）可以由Neyman-Pearson检测理论导出自动停止规则以终止算法。

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