Dimensionality Reduction for the Feature System in Classification of Hyperspectral Earth Remote Sensing Data by Use of Neural Networks

被引：0
|
作者：
V. I. Kozik
E. S. Nezhevenko
机构：
[1] Institute of Automation and Electrometry,
[2] Siberian Branch,undefined
[3] Russian Academy of Sciences,undefined
来源：
Optoelectronics, Instrumentation and Data Processing | 2022年 / 58卷
关键词：
Earth’s remote sensing; hyperspectral images; classification; neural networks; learning; genetic algorithm; feature number reduction;
D O I：
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学科分类号：
摘要：
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页码：1 / 7
页数：6
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