Development and Technical Prospect of Remote Sensing Intelligent Information Processing

Abstract:

Although the remote sensing information extraction technology is constantly being innovated， there are still huge bottlenecks in terms of intelligence， precision， and practicality. Therefore， it is necessary to conduct a comprehensive summary and discussion on the development topic of remote sensing intelligent computing and information extraction. From the four levels of “mechanism-scale-data-intelligence”， this paper gradually discusses the development and fusion of remote sensing information extraction and quantitative inversion paths， the different processing unit modes based on pixels and object-oriented， the spatial-temporal spectral data fusion， the intelligent factors of remote sensing interpretation. It proposes a future-oriented remote sensing intelligent computing architecture which is driven by two-way “data acquisition knowledge” and “knowledge-guided data”， and integrates remote sensing big data and geoscience knowledge maps， trying to promote the transition of remote sensing science from classics to modernization.

Key words:remote sensing intelligent computing;information extraction;intelligent interpretation;oriented object;deep learning;spatial-temporal fusion;remote sensing big data;geoscience knowledge graph