云南高校图书馆联盟文献共享服务平台- UNMIXING

UNMIXING: 作品数：21被引量：28H指数：2; 导出分析报告; 相关领域：自动化与计算机技术天文地球更多>>; 相关作者：唐文杰李聪骆志刚更多>>; 相关机构：国防科学技术大学更多>>; 相关期刊：《International Journal of Sediment Research》《International Journal of Digital Earth》《High Technology Letters》《Journal of Data Analysis and Information Processing》更多>>; 相关基金：国家自然科学基金中国博士后科学基金高等学校学科创新引智计划国家重点基础研究发展计划更多>>

Delineating complex ferroelectric domain structures via second harmonic generation spectral imaging被引量：2: 《Journal of Materiomics》2023年第2期395-402,共8页Wei Li Yunpeng Ma Tianyi Feng Ziwan Du Yixuan Liu Sergei VKalinin Jing-Feng Li Qian Li; supported by National Natural Science Foundation of China(NSFC)under Grants No.52073155 and No.52150092;the National Key Basic Research Program of China under Grant No.2020YFA0309100,and by the Project for Introduced Innovation Team in Jinan(2020GXRC037).; Understanding the mechanisms and spatial correlations of crystallographic symmetry breaking in ferroelectric materials is essential to tuning their functional properties.While optical second harmonic generation(SHG)ha...; 关键词：Second harmonic generation FERROELECTRICS Domain structure Bayes linear unmixing

Hypergraph Regularized Deep Autoencoder for Unsupervised Unmixing Hyperspectral Images: 《Journal of Donghua University(English Edition)》2023年第1期8-17,共10页张泽兴杨斌; National Natural Science Foundation of China(No.62001098);Fundamental Research Funds for the Central Universities of Ministry of Education of China(No.2232020D-33)。; Deep learning(DL)has shown its superior performance in dealing with various computer vision tasks in recent years.As a simple and effective DL model,autoencoder(AE)is popularly used to decompose hyperspectral images(H...; 关键词：hyperspectral image(HSI) spectral unmixing deep autoencoder(AE) hypergraph learning

Improving time–frequency sparsity for enhanced audio source separation in degenerate unmixing estimation technique algorithm被引量：1: 《Journal of Control and Decision》2022年第4期502-515,共14页Shahin M.Abdulla J.Jayakumari; In recent years,much research has been focused on separating acoustic sources from their mixtures.Degenerate Unmixing Estimation Technique(DUET)is one of the widely popular meth-ods of Blind Source Separation(BSS)in u...; 关键词：Blind source separation TIME-FREQUENCY dual-tree complex wavelet transform synchroextracting SPARSITY

Non-Negative Minimum Volume Factorization (NMVF) for Hyperspectral Images (HSI) Unmixing: A Hybrid Approach: 《Computers, Materials & Continua》2022年第11期3705-3720,共16页Kriti Mahajan Urvashi Garg Nitin Mittal Yunyoung Nam Byeong-Gwon Kang Mohamed Abouhawwash; This research was supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(P0012724,The Competency Development Program for Industry Specialist)and the Soonchunhyang University Research Fund.; Spectral unmixing is essential for exploitation of remotely senseddata of Hyperspectral Images (HSI). It amounts to the identification of a position of spectral signatures that are pure and therefore called end member...; 关键词：Hyperspectral Imaging minimum volume simplex source separation end member extraction non-negative minimum volume factorization(NMVF) endmembers(EMs)

Unsupervised hyperspectral unmixing based on robust nonnegative dictionary learning被引量：1: 《Journal of Systems Engineering and Electronics》2022年第2期294-304,共11页LI Yang JIANG Bitao LI Xiaobin TIAN Jing SONG Xiaorui; supported by the National Natural Science Foundation of China(61801513).; Considering the sparsity of hyperspectral images(HSIs),dictionary learning frameworks have been widely used in the field of unsupervised spectral unmixing.However,it is worth mentioning here that existing dictionary l...; 关键词：hyperspectral image(HSI) nonnegative dictionary learning norm loss function unsupervised unmixing

Robust Deep 3D Convolutional Autoencoder for Hyperspectral Unmixing with Hypergraph Learning: 《Journal of Harbin Institute of Technology(New Series)》2021年第5期1-8,共8页Peiyuan Jia Miao Zhang Yi Shen; Sponsored by the National Natural Science Foundation of China(Grant No.61876054);the National Key Research and Development Program of China(Grant No.2019YFC0117400).; Hyperspectral unmixing aims to acquire pure spectra of distinct substances(endmembers)and fractional abundances from highly mixed pixels.In this paper,a deep unmixing network framework is designed to deal with the noi...; 关键词：deep learning unsupervised unmixing convolutional autoencoder HYPERGRAPH hyperspectral data

Linear spectral unmixing algorithm for modelling suspended sediment concentration of flash floods,upper Tekeze River,Ethiopia: 《International Journal of Sediment Research》2020年第1期79-90,共12页Hagos GGebreslassie Assefa MMelesse Kevin Bishop Azage GGebremariam; Addis Ababa University,Ethiopia,for providing partial cover of financial support for this research; Flash floods are the highest sediment transporting agent,but are inaccessible for in-situ sampling and have rarely been analyzed by remote sensing technology.Laboratory and field experiments were done to develop linea...; 关键词：Empirical REMOTE sensing Flash floods LINEAR spectral UNMIXING Suspended SEDIMENT CONCENTRATION Tekeze RIVER

Analysis of Seasonal Characteristics of Thermal Environment Based on Urban Sub-Pixel Land Use Types: 《Journal of Computer and Communications》2018年第11期77-90,共14页Jingyuan Cheng Youshui Zhang; Seasonal variations will cause the differences in the distribution of urban thermal environment. Therefore, it is essential for analyzing the distribution of land surface temperature (LST) in different seasons under t...; 关键词：Land Surface Temperature Linear Spectral UNMIXING Loop ZONING TERNARY TRIANGULAR Charts Fuzhou Province

Spectral Unmixing of Hyperspectral Images in the Presence of Small Targets: 《Remote Sensing》2018年第1期28-39,共12页Sylvain Ravel Caroline Fossati Salah Bourennane; Generally, the content of the hyperspectral image pixel is a mixture of the reflectance spectra of the different components in the imaged scene. In this paper, we consider a linear mixing model where the pixels are li...; 关键词：HYPERSPECTRAL UNMIXING detection RARE PIXEL Non-negative matrix FACTORIZATION ENDMEMBER

Estimate of Heavy Metals in Soil with Non-Soil Removed: 《Journal of Data Analysis and Information Processing》2017年第4期140-155,共16页Ji Jian Yao Fang Wei-Le Li Qian-Yu Chen Heng-Yu Tian Shuang-Lin You; Quantifying and mapping heavy metals’ concentrations in the soil are important in monitoring and managing heavy metal pollution in the mining areas. However, the cover on the soil acts as a balk when retrieving infor...; 关键词：Non-Soil Information Removal HEAVY Metal NDVI Spectral UNMIXING

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