2019
DOI: 10.1109/jstars.2019.2902430
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Target Dictionary Construction-Based Sparse Representation Hyperspectral Target Detection Methods

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Cited by 64 publications
(31 citation statements)
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“…Similarly, if the difference value is larger than certain threshold, the test pixel can be claimed as target, or background otherwise. Nevertheless, a key problem for many sparsity-based target detection methods is the constructions of target and background dictionaries [2,[26][27]. Generally, the target dictionary can be formed via the target training pixels that are selected from the global image scene, and the priori information is usually given by the target spectrum obtained from a target spectral library.…”
Section: A Srd and Srbbhmentioning
confidence: 99%
“…Similarly, if the difference value is larger than certain threshold, the test pixel can be claimed as target, or background otherwise. Nevertheless, a key problem for many sparsity-based target detection methods is the constructions of target and background dictionaries [2,[26][27]. Generally, the target dictionary can be formed via the target training pixels that are selected from the global image scene, and the priori information is usually given by the target spectrum obtained from a target spectral library.…”
Section: A Srd and Srbbhmentioning
confidence: 99%
“…H YPERSPECRAL image (HSI) is generally regarded as a data cube, which provides abundant spectral information, spatial information, and radiation information. In view of this advantage, HSIs are widely applied to agriculture [1], [2], environmental monitoring [3], [4], target detection [5], [6], and more. However, there exists a trade-off between the spatial resolution and spectral resolution physically.…”
Section: Introductionmentioning
confidence: 99%
“…Benefited from abundant spectral information, HSI has become instrumental in many application scenarios, such as medical diagnosis and treatment [1]- [3], agricultural production [4]- [6] and identification of the terrain landform [7]- [9]. Among these applications, target detection is considered as a fundamental task and has received a surge of interest [10], [11]. Essentially, target detection can be regarded as a problem of classification and localization [12], [13], which has been widely used spanning from civilian to military.…”
Section: Introductionmentioning
confidence: 99%