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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Hyperspectral Image and Classification Approaches,al remote sensing (HRS), also known as imaging spectroscopy, is a comparatively new technology that is presently under investigation by researchers and scientists for its vast range of applications such as target detection, minerals identification, vegetation, and identification of human structures

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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

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Integrating Spectral-Spatial Information for Deep Learning Based HSI Classification,hird phase in our developed framework as shown in Fig.?.. The complete explanation of each stage is illustrated in Chap.?1, Fig.?.. In this phase, three different DL based algorithms are developed for HSI classification.

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Challenges and Future Prospects,vancements in remote sensing technology. The hyperspectral image classification involves target detection of different ground covers on the surface of the earth and the categorization of the subject’s geographical area into different classes of interest. The classification of a hyperspectral remote

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Book 2021 and the inclusion of application fields of remote sensing by deep learning are theoriginal contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends..

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Deep Learning for Hyperspectral Image Analysis and Classification

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2662-3366 l contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends..978-981-33-4422-8978-981-33-4420-4Series ISSN 2662-3366 Series E-ISSN 2662-3374

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,Making Peasants Backward, 1900–14,mple. It could be that hockey players in the AHL have differing motivations for aggressive play than players in the senior NHL. Players in the AHL earn much lower salaries than their NHL cousins, so being promoted to the NHL results in significant financial rewards. Some AHL players might use an agg

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