Hyperspectral Image Classification via Exploring Spectral–Spatial Information of Saliency Profiles

Autor: Qikai Lu, Xuan Hu

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3291-3303 (2020)

Morphological features have shown promising performances for hyperspectral image (HSIs) classification, as they can efficiently extract the multilevel spatial information of HSIs. However, the objects in the scenes are always with different sizes and

Externí odkaz: https://doaj.org/article/09d5807ea9b6414cbdbaf36b27b1c5a8

An Effective Feature Segmentation Algorithm for a Hyper-Spectral Facial Image

Autor: Yuefeng Zhao, Mengmeng Wu, Liren Zhang, Jingjing Wang, Dongmei Wei

Publikováno v: Information, Vol 9, Iss 10, p 261 (2018)

The human face as a biometric trait has been widely used for personal identity verification but it is still a challenging task under uncontrolled conditions. With the development of hyper-spectral imaging acquisition technology, spectral properties w

Externí odkaz: https://doaj.org/article/8654f6dbc6014835abad3010c2c95f15

Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

Autor: Hong, Danfeng, Wu, Xin, Ghamisi, Pedram, Chanussot, Jocelyn, Yokoya, Naoto, Zhu, Xiao Xiang

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2020, 58 (6), pp.3791-3808. ⟨10.1109/TGRS.2019.2957251⟩
IEEE Transactions on Geoscience and Remote Sensing 8(2020)6, 3791-3807

Publisher's version (útgefin grein)
So far, a large number of advanced techniques have been developed to enhance and extract the spatially semantic information in hyperspectral image processing and analysis. However, locally semantic change, su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79978d938177f51fb8cb42bdd821bbf3
https://hal.archives-ouvertes.fr/hal-03142171

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An Effective Feature Segmentation Algorithm for a Hyper-Spectral Facial Image

Autor: Jingjing Wang, Mengmeng Wu, Yuefeng Zhao, Dongmei Wei, Liren Zhang

Publikováno v: Information
Volume 9
Issue 10
Information, Vol 9, Iss 10, p 261 (2018)

The human face as a biometric trait has been widely used for personal identity verification but it is still a challenging task under uncontrolled conditions. With the development of hyper-spectral imaging acquisition technology, spectral properties w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e27403e13226a4dfa32b242bfc5bbfc