HYPERSPECTRAL

作品数：231被引量：518H指数：11
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相关作者：薛绪掌刘良云赵春江宋晓宇陈立平更多>>
相关机构：中国农业大学国家农业信息化工程技术研究中心哈尔滨工程大学北京航空航天大学更多>>
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相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划国家高技术研究发展计划更多>>
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Hyperspectral Image Classification Based on Capsule Network被引量：2
《Chinese Journal of Electronics》2022年第1期146-154,共9页MA Qiaoyu ZHANG Xin ZHANG Chunlei ZHOU Heng 
The conventional convolutional neural network performs not well enough in the ground objects classification because of its insufficient ability in maintaining sensitive spectral information and characterizing the cova...
关键词：Capsule network Space-spectrum fusion HYPERSPECTRAL CLASSIFICATION Deep learning 
Recent Advances in Computational Photography被引量：2
《Chinese Journal of Electronics》2019年第1期1-5,共5页DAI Qionghai WU Jiamin FAN Jingtao XU Feng CAO Xun 
supported by the National Natural Science Foundation of China(No.61327902,No.61627804)
Traditional photography focuses on the optimization of lenses for a perfect imaging system.However, with the great developments of computational resources and optical modulation devices, we can achieve more powerful i...
关键词：COMPUTATIONAL PHOTOGRAPHY Gigapixel IMAGING SUPER-RESOLUTION IMAGING COMPRESSIVE sensing HYPERSPECTRAL IMAGING 
A Novel Framework for Object-Based Coding and Compression of Hyperspectral Imagery被引量：4
《Chinese Journal of Electronics》2015年第2期300-305,共6页ZHAO Chunhui LI Xiaohui REN Jinchang Stephen Marshall 
supported by the National Natural Science Foundation of China(No.61077079,No.61275010);the Key Program of Heilongjiang Natural Science Foundation(No.ZD201216);Program Excellent Academic Leaders of Harbin(No.RC2013XK009003);the Fundamental Research Funds for the Central Universities(No.HEUCF1408)
A novel object-based framework is proposed for HSI compression, where targets of interest are extracted and separately coded. With objects removed,the holes are filled with the background average to form a new but mor...
关键词：HYPERSPECTRAL imagery(HSI) Objectbased image compression SPARSE representation Target detection REMOTE sensing 
Kernel ICA Feature Extraction for Anomaly Detection in Hyperspectral Imagery被引量：8
《Chinese Journal of Electronics》2012年第2期265-269,共5页ZHAO Chunhui WANG Yulei MEI Feng 
Manuscript Received Nov. 2010; Accepted Oct. 2011. This work is supported by the National Natural Science Foundation of China （No.61077079, No.60802059）, the Ph.D. Programs Foundation of Ministry of Education of China （No.20102304110013） and the Excellent Academic Leader Foundation of Harbin City in China （No.2009RFXXG034）.
A kernel-based independent component analysis algorithm, which combines Kernel principal com- ponent analysis （KPCA） and Independent component analysis （ICA） is proposed for anomaly detection in hyper- spectral im...
关键词：Anomaly detection Hyperspectral im-agery Independent component analysis （ICA） Kernel-based method Principal component analysis （PCA） ReedXiaoli （RX）. 
Hyperspectral Small Target Detection by Combining Kernel PCA with Linear Mixture Model被引量：1
《Chinese Journal of Electronics》2005年第1期130-134,共5页GUYanfeng ZHANGYe 
In this paper, a kernel-based invariant detection method is proposed for small target detection of hyperspectral images. The method combines Kernel principal component analysis (KPCA) with Iinear mixture model (LMM) t...
关键词：目标检测 LMM KPCA 图像传感器 
A Kernel—based Nonlinear Subspace Projection Method for Dimensionality Reduction of Hyperspectral Image Data被引量：2
《Chinese Journal of Electronics》2003年第2期203-207,共5页GUYanfeng ZHANGYe QUANTaifan 
A challenging problem in using hyper-spectral data is to eliminate redundancy and preserve useful spectral information for applications. In this pa-per, a kernel-based nonlinear subspace projection (KNSP)method is pr...
关键词：特征特取 Kernel函数 非线性子空间 图形数据 KPCA 
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