SPECTRAL

作品数：1009被引量：1459H指数：13
导出分析报告
相关作者：柳力敏陈蕾华瑞才娜肖博更多>>
相关机构：昆明理工大学中国医科大学附属第一医院中国科学院中国农业大学更多>>
相关期刊：更多>>
相关基金：国家自然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国家教育部博士点基金更多>>
-
在结果中检索

检索结果分析

结果分析中...
选择条件：
  • 学科=自动化与计算机技术x
共 条 记 录，以下是1-10
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
Hyperspectral Image Super-Resolution Based on Spatial-Spectral-Frequency Multidimensional Features
《Journal of Beijing Institute of Technology》2025年第1期28-41,共14页Sifan Zheng Tao Zhang Haibing Yin Hao Hu Jian Jiang Chenggang Yan 
supported by the Fundamental Research Funds for the Provincial Universities of Zhejiang (No.GK249909299001-036);National Key Research and Development Program of China (No. 2023YFB4502803);Zhejiang Provincial Natural Science Foundation of China (No.LDT23F01014F01)。
Due to the limitations of existing imaging hardware, obtaining high-resolution hyperspectral images is challenging. Hyperspectral image super-resolution(HSI SR) has been a very attractive research topic in computer vi...
关键词：deep neural network hyperspectral image spatial feature spectral information frequency feature 
Hyperspectral Image Reconstruction for Interferometric Spectral Imaging System with Degradation Synthesis
《Journal of Beijing Institute of Technology》2025年第1期42-56,共15页Yuansheng Li Xiangpeng Feng Siyuan Li Geng Zhang Ying Fu 
Among hyperspectral imaging technologies, interferometric spectral imaging is widely used in remote sening due to advantages of large luminous flux and high resolution. However, with complicated mechanism, interferome...
关键词：hyperspectral imaging degradation modeling data synthesis spectral reconstruction 
基于改进SpectralNet的云南40米射电望远镜RFI聚类研究
《陕西理工大学学报（自然科学版）》2024年第6期36-45,86,共11页贺方彤 梁波 
国家自然科学基金项目(12063003)。
为了在进行脉冲星观测受到严重射频干扰(RFI)污染问题时制定特定的缓解策略,提出了一种基于卷积自编码器和谱聚类的图像聚类模型CAE-SpectralNet。该模型自编码器部分自动从图像中提取关键特征,避免了手动操作的困难,而谱聚类则将特征...
关键词：CAE-SpectralNet模型 图像聚类 RFI的形态归类 
Highly-efficient(>70%)and Wide-spectral(400-1700 nm)sub-micron-thick InGaAs photodiodes for future high-resolution image sensors
《Light(Science & Applications)》2024年第12期3224-3235,共12页Dae-Myeong Geum Jinha Lim Junho Jang Seungyeop Ahn SeongKwang Kim Joonsup Shim Bong Ho Kim Juhyuk Park Woo Jin Baek Jaeyong Jeong SangHyeon Kim 
supported by National Research Foundation of Korea(NRF)(2020M3H4A3081735,2022M3F3A2A01065057);support from Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(RS202300246113);in part by Korea Basic Science Institute(National research Facilities and Equipment Center)grant funded by the Ministry of Education(grant No.2023R1A6C103A035).
This paper demonstrates the novel approach of sub-micron-thick InGaAs broadband photodetectors(PDs)designed for high-resolution imaging from the visible to short-wavelength infrared(SWIR)spectrum.Conventional approach...
关键词：THICK RESOLUTION image 
Deep plug-and-play self-supervised neural networks for spectral snapshot compressive imaging
《红外与毫米波学报》2024年第6期846-857,共12页ZHANG Xing-Yu ZHU Shou-Zheng ZHOU Tian-Shu QI Hong-Xing WANG Jian-Yu LI Chun-Lai LIU Shi-Jie 
Supported by the Zhejiang Provincial"Jianbing"and"Lingyan"R&D Programs(2023C03012,2024C01126)。
The encoding aperture snapshot spectral imaging system,based on the compressive sensing theory,can be regarded as an encoder,which can efficiently obtain compressed two-dimensional spectral data and then decode it int...
关键词：compressed sensing deep learning self-supervised coded aperture imaging 
Hyperspectral Image Super-Resolution Network Based on Reinforcing Inter-Spectral Incremental Information被引量：1
《Journal of Beijing Institute of Technology》2024年第4期307-325,共19页Jialong Liang Qiang Li Size Wang Charles Okanda Nyatega Xin Guan 
the National Natural Science Foun-dation of China(Nos.61471263,61872267 and U21B2024);the Natural Science Foundation of Tianjin,China(No.16JCZDJC31100);Tianjin University Innovation Foundation(No.2021XZC0024).
Hyperspectral images typically have high spectral resolution but low spatial resolution,which impacts the reliability and accuracy of subsequent applications,for example,remote sensingclassification and mineral identi...
关键词：image processing hyperspectral image super-solution incremental information 
S^(2)ANet:Combining local spectral and spatial point grouping for point cloud processing
《虚拟现实与智能硬件（中英文）》2024年第4期267-279,共13页Yujie LIU Xiaorui SUN Wenbin SHAO Yafu YUAN 
Background Despite the recent progress in 3D point cloud processing using deep convolutional neural networks,the inability to extract local features remains a challenging problem.In addition,existing methods consider ...
关键词：Local frequency Spectral and spatial aggregation convolution Spectral group convolution Point cloud representation learning Graph convolutional network 
A two-branch multiscale spectral-spatial feature extraction network for hyperspectral image classification
《Journal of Information and Intelligence》2024年第3期224-235,共12页Aamir Ali Caihong Mu Zeyu Zhang Jian Zhu Yi Liu 
supported by the National Natural Science Foundation of China(62077038,61672405,62176196 and 62271374)。
In the field of hyperspectral image(HSI)classification in remote sensing,the combination of spectral and spatial features has gained considerable attention.In addition,the multiscale feature extraction approach is ver...
关键词：Hyperspectral image classification Multiscale spectral-spatial information Two-branch architecture 
Multispectral point cloud superpoint segmentation
《Science China(Technological Sciences)》2024年第4期1270-1281,共12页WANG QingWang WANG MingYe ZHANG ZiFeng SONG Jian ZENG Kai SHEN Tao GU YanFeng 
supported by the Youth Project of the National Natural Science Foundation of China(Grant No.62201237);the Yunnan Fundamental Research Projects(Grant Nos.202101BE070001-008 and202301AV070003);the Youth Project of the Xingdian Talent Support Plan of Yunnan Province(Grant No.KKRD202203068);the Major Science and Technology Projects in Yunnan Province(Grant No.202202AD080013)。
The multitude of airborne point clouds limits the point cloud processing efficiency.Superpoints are grouped based on similar points,which can effectively alleviate the demand for computing resources and improve proces...
关键词：multispectral point cloud superpoint segmentation OVER-SEGMENTATION spatial-spectral joint metric 
A Spectral Convolutional Neural Network Model Based on Adaptive Fick’s Law for Hyperspectral Image Classification
《Computers, Materials & Continua》2024年第4期19-46,共28页Tsu-Yang Wu Haonan Li Saru Kumari Chien-Ming Chen 
Natural Science Foundation of Shandong Province,China(Grant No.ZR202111230202).
Hyperspectral image classification stands as a pivotal task within the field of remote sensing,yet achieving highprecision classification remains a significant challenge.In response to this challenge,a Spectral Convol...
关键词：Adaptive Fick’s law algorithm spectral convolutional neural network metaheuristic algorithm intelligent optimization algorithm hyperspectral image classification 
全选清除导出
共12页<12345678910>
检索报告 对象比较 聚类工具 使用帮助 返回顶部