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Fractional Fourier-Based Frequency-Spatial-Spectral Prototype Network for Agricultural Hyperspectral Image Open-Set Classification
Maoyang Chen, Shou Feng
*
, Chunhui Zhao, Bo Qu, Nan Su, Wei Li,
Ran Tao
*
此作品的通讯作者
先进结构技术研究院
Harbin Engineering University
Shaanxi Key Laboratory of Optical Remote Sensing and Intelligent Information Processing
Beijing Institute of Technology
CAS - Xi'an Institute of Optics and Precision Mechanics
Xi'an Jiaotong University
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探究 'Fractional Fourier-Based Frequency-Spatial-Spectral Prototype Network for Agricultural Hyperspectral Image Open-Set Classification' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
Classification Accuracy
33%
Classification Method
66%
Classification Performance
33%
Feature Recognition
33%
Feature Vector
33%
Fourier Transform
33%
Frequency Domain
33%
Hyperspectral Data
33%
Hyperspectral Image
100%
Image Classification
66%
Open Set Recognition
33%
Spatial Frequency
100%
Spectral Information
33%
Engineering
Classification Accuracy
33%
Classification Method
66%
Classification Performance
33%
Feature Vector
33%
Fourier Transform
33%
Frequency Domain
33%
Hyperspectral Data
33%
Hyperspectral Image
100%
Image Classification
66%
Similarities
33%
Spatial Frequency
100%
Spectral Information
33%