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pro vyhledávání: '"Liu, Peifu"'
Extracting discriminative information from complex spectral details in hyperspectral image (HSI) for HSI classification is pivotal. While current prevailing methods rely on spectral magnitude features, they could cause confusion in certain classes, r
Externí odkaz:
http://arxiv.org/abs/2407.18593
Hyperspectral image classification, a task that assigns pre-defined classes to each pixel in a hyperspectral image of remote sensing scenes, often faces challenges due to the neglect of correlations between spectrally similar pixels. This oversight c
Externí odkaz:
http://arxiv.org/abs/2407.07307
Hyperspectral salient object detection (HSOD) has exhibited remarkable promise across various applications, particularly in intricate scenarios where conventional RGB-based approaches fall short. Despite the considerable progress in HSOD method advan
Externí odkaz:
http://arxiv.org/abs/2404.00694
Hyperspectral salient object detection (HSOD) aims to detect spectrally salient objects in hyperspectral images (HSIs). However, existing methods inadequately utilize spectral information by either converting HSIs into false-color images or convergin
Externí odkaz:
http://arxiv.org/abs/2312.01060
Coded Aperture Snapshot Spectral Imaging (CASSI) reconstruction aims to recover the 3D spatial-spectral signal from 2D measurement. Existing methods for reconstructing Hyperspectral Image (HSI) typically involve learning mappings from a 2D compressed
Externí odkaz:
http://arxiv.org/abs/2312.01061
Akademický článek
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Akademický článek
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Publikováno v:
2014 International Conference on Virtual Reality and Visualization.
Location-based panorama systems such as Google Street View let users explore places around the world through panoramic bubbles or strips. The panorama image is easy to be deployed, but it can only provide the static views of capturing time and lacks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4411caf300af8962825d4e1eebc037de
https://doi.org/10.1109/icvrv.2014.69
https://doi.org/10.1109/icvrv.2014.69
Publikováno v:
2015 International Conference on BioPhotonics (BioPhotonics); 2015, p208-213, 6p