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A Dim-small Target Tracking Approach Based on Robust Hyperspectral Features

机译:基于鲁棒高光谱特征的暗小目标跟踪方法

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The dim-small target tracking is a central problem in several related applications. Subjected to the lack of objective information, traditional target tracking is difficult to meet the needs of dim-small target tracking. A dim-small target's description based on robust spectral features is proposed to solve this problem. By creating a multi-dimensional feature space and extending the limited RGB information to the hyperspectral information, a new type of target's description is presented to track the dim-small target with hyperspectral features.
机译:DIM小的目标跟踪是若干相关应用中的核心问题。受到客观信息的缺乏,传统的目标跟踪很难满足昏暗的目标跟踪的需求。提出了一种基于鲁棒光谱特征的小小目标的描述来解决这个问题。通过创建多维特征空间并将有限的RGB信息扩展到高光谱信息,提出了一种新的目标描述以跟踪具有超光谱特征的昏暗的小目标。

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