Phasor Quaternion Neural Network Framework and Its Significance in Big SAR Intelligence

A. Hirose
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引用次数: 1

Abstract

In this paper, first we overview the use of artificial intelligence (AI) in observation and data processing in synthetic aperture radar (SAR). Then we discuss the function and significance of phasor-quaternion neural networks (PQNN) in this field. In particular, we describe its effectiveness in dealing with polarimetric-interferometric synthetic aperture radar (PolInSAR) observation and its data utilization.
相数四元数神经网络框架及其在大SAR情报中的意义
本文首先概述了人工智能(AI)在合成孔径雷达(SAR)观测和数据处理中的应用。然后讨论了相数四元数神经网络(PQNN)在该领域的作用和意义。特别地,我们描述了它在处理偏振干涉合成孔径雷达(PolInSAR)观测中的有效性及其数据利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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