Design of Multi-source Remote Sensing Image Fusion Framework

Xujun Wu, Daguo Qin
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Abstract

With the explosive growth of remote sensing image data, multi-source data fusion processing has become the development trend of remote sensing image interpretation. Aiming at some problems existing in multi-source remote sensing image fusion, a multi-level and hybrid fusion processing framework based on edge computing and deep learning is designed, and the technical requirements of data association, feature extraction, edge computing and decision generation are analyzed, in order to provide theoretical basis for subsequent construction.
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多源遥感图像融合框架设计
随着遥感影像数据的爆发式增长,多源数据融合处理已成为遥感影像解译的发展趋势。针对多源遥感图像融合中存在的一些问题,设计了基于边缘计算和深度学习的多层次混合融合处理框架,分析了数据关联、特征提取、边缘计算和决策生成等技术要求,为后续构建提供理论依据。
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