云南高校图书馆联盟文献共享服务平台- SPECTRAL

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>>

Semantic and spatial‐spectral feature fusion transformer network for the classification of hyperspectral image: 《CAAI Transactions on Intelligence Technology》2023年第4期1308-1322,共15页Erxin Xie Na Chen Jiangtao Peng Weiwei Sun Qian Du Xinge You; supported in part by the Natural Science Foundation of Hubei Province under Grant 2021CFA087;by the National Natural Science Foundation of China under Grant Nos.42171351,42122009,41971296.; Recently,transformer‐based networks have been introduced for the classification of hyperspectral image(HSI).Although transformer‐based methods can well capture spectral sequence information,their ability to fuse dif...; 关键词：image classification machine learning

Stacked spectral feature space patch: An advanced spectral representation for precise crop classification based on convolutional neural network被引量：2: 《The Crop Journal》2022年第5期1460-1469,共10页Hui Chen Yue’an Qiu Dameng Yin Jin Chen Xuehong Chen Shuaijun Liu Licong Liu; supported by the National Natural Science Foundation of China (67441830108 and 41871224)。; Spectral and spatial features in remotely sensed data play an irreplaceable role in classifying crop types for precision agriculture. Despite the thriving establishment of the handcrafted features, designing or select...; 关键词：Crop classification Convolutional neural network Handcrafted feature Stacked spectral feature space patch Spectral information

Classification of Soybean Pubescence from Multispectral Aerial Imagery被引量：2: 《Plant Phenomics》2021年第1期156-166,共11页Robert W.Bruce Istvan Rajcan John Sulik; Canada First Research Excellence Fund,Food from Thought:Agricultural Systems for a Healthy Planet(CFREF-2015-00004);For the additional funding,thanks are due to Natural Sciences and Engineering Research Council(NSERC)Collaborative Research and Development Grant(CRD)#CRDPJ 513541-17,which is cofunded by CanGro Genetics Inc.and Huron Commodities Inc.; The accurate determination of soybean pubescence is essential for plant breeding programs and cultivar registration.Currently,soybean pubescence is classified visually,which is a labor-intensive and time-consuming act...; 关键词：indices SPECTRAL consuming

Multiple Deep-Belief-Network-Based Spectral-Spatial Classification of Hyperspectral Images被引量：5: 《Tsinghua Science and Technology》2019年第2期183-194,共12页Atif Mughees Linmi Tao; supported in part by the National Natural Science Foundation of China(No.61672017);the National High-Tech Research and Development Program of China(No.2012AA011602); A deep-learning-based feature extraction has recently been proposed for HyperSpectral Images(HSI)classification. A Deep Belief Network(DBN), as part of deep learning, has been used in HSI classification for deep and a...; 关键词：HYPERSPECTRAL image CLASSIFICATION segmentation deep BELIEF network support VECTOR machine

Energy enhanced tissue texture in spectral computed tomography for lesion classification被引量：1: 《Visual Computing for Industry,Biomedicine,and Art》2019年第1期138-149,共12页Yongfeng Gao Yongyi Shi Weiguo Cao Shu Zhang Zhengrong Liang; This work was partially supported by the NIH/NCI,No.CA206171.; Tissue texture reflects the spatial distribution of contrasts of image voxel gray levels,i.e.,the tissue heterogeneity,and has been recognized as important biomarkers in various clinical tasks.Spectral computed tomogr...; 关键词：Tissue texture Spectral computed tomography Lesion classification Machine learning Bayesian reconstruction

Spectral-spatial classification for hyperspectral imagery： a novel combination method based on affinity scoring: 《Science China(Information Sciences)》2016年第10期177-189,共13页Zhao CHEN Bin WANG; supported in part by National Natural Science Foundation of China (Grant No. 61572133);Research Fund for State Key Laboratory of Earth Surface Processes and Resource Ecology (Grant No. 2015-KF-01); Recently, a general framework for spectral-spatial classification has caught the attention of the hyperspectral imagery （HSI） society. It consists of three parts： classification, segmentation and combination of the...; 关键词：hyperspectral imagery spectral-spatial classification affinity score local spatial consistency fuzzy superpixel

Comparison of Spectral and Molecular Analyses for Classification of Long Term Stored Wheat Samples: 《光谱学与光谱分析》2016年第4期1266-1272,共7页Fatih Kahriman Cem Omer Egesel; This study aimed to determine whether NIR spectroscopy and protein band analysis can differentiate the grain samples of 15 wheat genotypes stored for different periods:Group Ⅰ(91weeks),Group Ⅱ(143weeks),Group Ⅲ(194...; 关键词：存储trutucyn 小麦近红外光谱醇溶谷蛋白

Combining Spectral with Texture Features into Objectoriented Classification in Mountainous Terrain Using Advanced Land Observing Satellite Image: 《Journal of Mountain Science》2013年第5期768-776,共9页LIU En-qin ZHOU Wan-cun ZHOU Jie-ming SHAO Huai-yong YANG Xin; supported jointly by Key Laboratory of Geo-special Information Technology, Ministry of Land and Resources (Grant No. KLGSIT2013-12);Knowledge Innovation Program (Grant No. KSCX1-YW-09-01) of Chinese Academy of Sciences; Most existing classification studies use spectral information and those were adequate for cities or plains. This paper explores classification method suitable for the ALOS （Advanced Land Observing Satellite） in moun...; 关键词：Texture features Object-orientedclassification Land use MOUNTAIN ALOS

Classification of hyperspectral remote sensing images using frequency spectrum similarity被引量：10: 《Science China(Technological Sciences)》2013年第4期980-988,共9页WANG Ke GU XingFa YU Tao MENG QingYan ZHAO LiMin FENG Li; supported by the National Basic Research Program of China ("973" Program) (Grant No. 2010CB950800);International S&T Cooperation Program of China (Grant No. 2010DFA21880);China Postdoctoral Science Foundation (Grant No. 2012M510053); An algorithm of hyperspectral remote sensing images classification is proposed based on the frequency spectrum of spectral signature.The spectral signature of each pixel in the hyperspectral image is taken as a discre...; 关键词：hyperspectral image spectral similarity frequency spectrum feature remote sensing CLASSIFICATION

An Urban Open Space Extraction Method: Combining Spectral and Geometric Characteristics被引量：1: 《Geo-Spatial Information Science》2004年第4期249-254,共6页ZHUGuobin DanG.Blumberg; FundedbytheScientificResearchFoundationfortheReturnedOverseasChineseScholars.; This paper introduces an advanced method based on remote sensing and Geographic Information System for urban open space extraction combining spectral and geometric characteristics. From both semantic and remote sensin...; 关键词：urban open space remote sensing geographic information systems (GIS) SEGMENTATION classification (ASTER

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