Design of Multi-source Remote Sensing Image Fusion Framework

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.