A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data

With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing images has been paid more attention. Through the semantic research of remote sensing data, the processing ability of remote sensing data is greatly improved. This paper aims to introduce and analyze the research and application progress of remote sensing image satellite data processing from the perspective of semantics. Firstly, it introduces the characteristics and semantic knowledge of remote sensing big data. Secondly, the semantic concept, semantic construction, and application fields are introduced in detail. Then, for remote sensing big data, the technical progress in the study field of semantic construction is analyzed from four aspects-semantic description and understanding, semantic segmentation, semantic classification, and semantic search-focusing on deep learning technology. Finally, the problems and challenges in the four aspects are discussed in detail in order to find more directions to explore.

Automated summary

This paper introduces and analyzes the research and application progress of remote sensing image satellite data processing from the perspective of semantics, with a focus on technical advancements in the field of semantic construction, particularly deep learning technology. Furthermore, it discusses in detail the challenges and problems in semantic description, semantic classification, and semantic search, aiming to provide more directions for future exploration.