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Unified lagrangian neural network method for subpixel classification in hyperspectral imagery
Harold Szu,
Hsuan Ren
太空及遙測研究中心
資訊工程學系
太空科學與工程學系
研究成果
:
雜誌貢獻
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期刊論文
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7
引文 斯高帕斯（Scopus）
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Keyphrases
Neural Network Method
100%
Artificial Neural Network
100%
Hyperspectral
100%
Lagrangian
100%
Sub-pixel Classification
100%
Lagrangian Neural Networks
100%
Constrained Least Squares Method
75%
Hyperspectral Image Classification
50%
Scene Image
50%
Spectral Signature
25%
Neural Network
25%
Curse of Dimensionality
25%
Endmember
25%
Unmixing
25%
Least Squares Approach
25%
Pixel Vector
25%
Challenging Problems
25%
Large Degrees of Freedom
25%
Sum-to-one Constraint
25%
Airborne Visible Infrared Imaging Spectrometer
25%
Unsupervised Unmixing
25%
Constrained Least Squares
25%
Spectral Characteristics
25%
Supervised Training
25%
Unknown Interference
25%
Sum Constraint
25%
Lagrange multiplier
25%
Unmixing Method
25%
Full Knowledge
25%
Spectral Mixture Analysis
25%
Multispectral Imagery
25%
Spectral Mixture
25%
Digital Signal Processing
25%
Engineering
Least Square
100%
Subpixels
100%
Hyperspectral Imagery
100%
Artificial Neural Network
100%
Square Method
50%
Hyperspectral Image
50%
Image Classification
50%
Dimensionality
25%
Degree of Freedom
25%
Digital Signal Processing
25%
Lagrange Multiplier Method
25%
Supervised Training
25%
Pixel Vector
25%
Spectral Characteristic
25%
Endmembers
25%
Computer Science
Neural Network
100%
Least Squares Method
100%
Artificial Neural Network
100%
Hyperspectral Image
50%
Image Classification
50%
unmixing
25%
Spectral Characteristic
25%
Digital Signal Processing
25%
Lagrange Multiplier Method
25%
Earth and Planetary Sciences
Artificial Neural Network
100%
Hyperspectral Image Classification
50%
Footprint
25%
Spectral Mixture Analysis
25%
Signal Processing
25%
Degree of Freedom
25%
Chemistry
Lagrangian
100%
Hyperspectral Imaging
40%
Infrared Imaging
20%