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Methodology for hyperspectral image classification using novel neural network

机译：利用新型神经网络进行高光谱图像分类的方法

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A novel feed forward neural network is used to classify hyperspectral data from the AVIRIS sector. The network applies an alternating direction singular value decomposition technique to achieve rapid training times (few seconds per class). Very few samples (10-12) are required for training. 100% accurate classification is obtained using test data sets. The methodology combines this rapid training neural network together with data reduction and maximal feature separation techniques such as principal component analysis and simultaneous diagonalization of covariance matrices, for rapid and accurate classification of large hyperspectral images. The results are compared to those of standard statistical classifiers. 21 refs., 3 figs., 5 tabs.

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作者
Subramanian, S. ; Barhen, J. ; Toomarian, N.;
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年度 1997
页码 1-12
总页数 12
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Image Processing; Images; Neural Networks; Classification; Design; Meetings;

机译：图像处理;图像;神经网络;分类;设计;会议;

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专利

1. Progressively Expanded Neural Network (PEN Net) for hyperspectral image classification: A new neural network paradigm for remote sensing image analysis [J] . Sidike Paheding, Asari Vijayan K., Sagan Vasit ISPRS Journal of Photogrammetry and Remote Sensing . 2018,第DECa期

机译：逐步扩展神经网络（PEN Net）用于高光谱图像分类：一种用于遥感图像分析的新神经网络范例
2. Auto encoder based dimensionality reduction and classification using convolutional neural networks for hyperspectral images [J] . Ramamurthy Madhumitha, Robinson Y. Harold, Vimal S., Microprocessors and microsystems . 2020,第Nova期

机译：基于自动编码器的维度神经网络基于维度减少和分类，用于高光谱图像
3. Classification of hyperspectral images with convolutional neural networks and probabilistic relaxation [J] . Gao Qishuo, Lim Samsung Computer vision and image understanding . 2019,第Nova期

机译：利用卷积神经网络和概率松弛对高光谱图像进行分类
4. Methodology for hyperspectral image classification using novel neural network [C] . Suresh Subramanian, Opto-Knowledge Systems, Inc., Algorithms for Multispectral and Hyperspectral Imagery III . 1997

机译：使用新型神经网络的高光谱图像分类方法
5. Neural network classification of hyperspectral imagery for urban environments: A case study. [D] . Lulla, Vijay. 2010

机译：城市环境中高光谱图像的神经网络分类：案例研究。
6. Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification [O] . Simin Li, Xueyu Zhu, Jie Bao 2019

机译：高光谱图像分类的分层多尺度卷积神经网络
7. Methodology for hyperspectral image classification using novel neural network [O] . Suresh Subramanian, Nahum Gat, Michael Sheffield, 1997

机译：使用新颖神经网络的高光谱图像分类的<标题>方法

Methodology for hyperspectral image classification using novel neural network

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