Titlebook: Deep Learning for Hyperspectral Image Analysis and Classification; Linmi Tao,Atif Mughees Book 2021 The Editor(s) (if applicable) and The

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书目名称Deep Learning for Hyperspectral Image Analysis and Classification影响因子(影响力)




书目名称Deep Learning for Hyperspectral Image Analysis and Classification影响因子(影响力)学科排名




书目名称Deep Learning for Hyperspectral Image Analysis and Classification网络公开度




书目名称Deep Learning for Hyperspectral Image Analysis and Classification网络公开度学科排名




书目名称Deep Learning for Hyperspectral Image Analysis and Classification被引频次




书目名称Deep Learning for Hyperspectral Image Analysis and Classification被引频次学科排名




书目名称Deep Learning for Hyperspectral Image Analysis and Classification年度引用




书目名称Deep Learning for Hyperspectral Image Analysis and Classification年度引用学科排名




书目名称Deep Learning for Hyperspectral Image Analysis and Classification读者反馈




书目名称Deep Learning for Hyperspectral Image Analysis and Classification读者反馈学科排名

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Hyperspectral Image Spatial Feature Extraction via Segmentation,tion task as shown in Fig. .. A complete description of all the HSI classification phases is depicted in Chap. 1, Fig. .. This phase aims at the development of a novel unsupervised segmentation approach. Experimental results and comparison with the state-of-the-art existing segmentation approach are also presented in detail.

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隐语

Sparse-Based Hyperspectral Data Classification,In this section, we restate the sparsest solution problem using a geometric interpretation. Finding the sparsest solution is strictly equivalent to the .-norm problem in Eq. .. Unfortunately, this .-minimization problem is computationally intensive, so we will prove that the following .-minimization approach in Eq. . is a good approximation to it.

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