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Independent component analysis as a tool for the dimensionality reduction and the representation of hyperspectral images

机译：独立分量分析作为降维和高光谱图像表示的工具

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M. Lennon; G. Mercier; M. C. Mouchot; L. Hubert-moy;
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年度 2001
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1. Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis [J] . Jing Wang, Chein-I Chang IEEE Transactions on Geoscience and Remote Sensing . 2006,第6期

机译：基于独立成分分析的降维及其在高光谱图像分析中的应用
2. Tensor Discriminant Analysis via Compact Feature Representation for Hyperspectral Images Dimensionality Reduction [J] . Jinliang An, Yuzhen Song, Yuwei Guo, Remote Sensing . 2019,第15期

机译：通过紧凑特征表示的张量判别分析用于高光谱图像降维
3. FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images [J] . Fernandez Daniel, Gonzalez Carlos, Mozos Daniel, Journal of Real-Time Image Processing . 2019,第5期

机译：高光谱图像降维的主成分分析算法的FPGA实现
4. Independent component analysis as a tool for the dimensionality reduction and the representation of hyperspectral images [C] . Lennon, M., Mercier, Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International . 2001

机译：独立分量分析作为降维和高光谱图像表示的工具
5. Independent component analysis based feature extraction for hyperspectral images. [D] . Robila, Stefan Alexandru. 2002

机译：基于独立成分分析的高光谱图像特征提取。
6. Dimensionality Reduction of Hyperspectral Images Based on Improved Spatial–Spectral Weight Manifold Embedding [O] . Hong Liu, Kewen Xia, Tiejun Li, 2020

机译：基于改进的空间光谱重量歧管嵌入的高光谱图像的维数减少
7. Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis [O] . Jing Wang, Student Member, Chein-i Chang, 2006

机译：基于独立成分分析的降维方法及其在高光谱图像分析中的应用
8. Unsupervised hyperspectral image analysis using independent component analysis [R] . Chiang, S. S. , Ginsberg, I. W. 2000

机译：使用独立分量分析的无监督高光谱图像分析

Independent component analysis as a tool for the dimensionality reduction and the representation of hyperspectral images

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