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Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification

Autor: Bai, Huiyan, Xu, Tingfa, Chen, Huan, Liu, Peifu, Li, Jianan

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

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Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken

Autor: Liu, Peifu, Xu, Tingfa, Wang, Jie, Chen, Huan, Bai, Huiyan, Li, Jianan

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

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DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection

Autor: Qin, Haolin, Xu, Tingfa, Liu, Peifu, Xu, Jingxuan, Li, Jianan

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

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Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection

Autor: Liu, Peifu, Xu, Tingfa, Chen, Huan, Zhou, Shiyun, Qin, Haolin, Li, Jianan

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

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Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction

Autor: Chen, Huan, Zhao, Wangcai, Xu, Tingfa, Zhou, Shiyun, Liu, Peifu, Li, Jianan

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

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Akademický článek

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Akademický článek

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Streaming Location-Based Panorama Videos into Augmented Virtual Environment

Autor: Yi Zhou, Liu Peifu, You Jingdi, Zhong Zhou

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