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Hyperspectral Image Classification Using Functional Data Analysis
IEEE Transactions on Cybernetics, 2014The large number of spectral bands acquired by hyperspectral imaging sensors allows us to better distinguish many subtle objects and materials. Unlike other classical hyperspectral image classification methods in the multivariate analysis framework, in this paper, a novel method using functional data analysis (FDA) for accurate classification of ...
Hong, Li +4 more
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Hyperspectral image classification using spectral-spatial LSTMs
Neurocomputing, 2017Abstract In this paper, we propose a hyperspectral image (HSI) classification method using spectral-spatial long short term memory (LSTM) networks. Specifically, for each pixel, we feed its spectral values in different channels into Spectral LSTM one by one to learn the spectral feature. Meanwhile, we firstly use principle component analysis (PCA) to
Feng Zhou +3 more
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Automated tea quality classification by hyperspectral imaging
Applied Optics, 2009A hyperspectral imaging technique was attempted to classify green tea. Five grades of green tea samples were attempted. A hyperspectral imaging system was developed for data acquisition of tea samples. Principal component analysis was performed on the hyperspectral data to determine three optimal band images.
Jiewen, Zhao +3 more
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Hyperspectral Image Classification Using Relevance Vector Machines
IEEE Geoscience and Remote Sensing Letters, 2007This letter presents a hyperspectral image classification method based on relevance vector machines (RVMs). Support vector machine (SVM)-based approaches have been recently proposed for hyperspectral image classification and have raised important interest.
Demir, Begum, S. Ertürk
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Optimizing Hyperspectral Imaging Classification
2023Guyang Zhang, Waleed Abdulla
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Hyperspectral Image Transformer Classification Networks
IEEE Transactions on Geoscience and Remote Sensing, 2022Xiaofei Yang +3 more
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Cross-domain hyperspectral image classification
Pattern RecognitionZhiyu Jiang +6 more
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Automated molecular-image cytometry and analysis in modern oncology
Nature Reviews Materials, 2020Ralph Weissleder, Hakho Lee
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