关键词: 影像分类技术, 国产卫星遥感, 影像分类应用, 深度学习

Abstract:

Remote sensing image classification technology provides important technical support for the application of the domestic remote sensing images in ecological construction, green development, rural revitalization, poverty alleviation and the construction of the Belt and Road, etc, which is of great significance for serving economic and social development, building a beautiful China, and ensuring the safety of people’s livelihood, etc. In recent years, the rapid development of big data technology and artificial intelligence technology has made great progress in the research on classification application of domestic remote sensing image. This paper briefly analyzes the remote sensing image classification technology and the problems in each stage, and summarizes the data of the six main domestic remote sensing satellites. The four classification methods of domestic remote sensing images based on pixel, mixed pixel, object-oriented and deep learning are comprehensively analyzed, and their research progress in classification application is discussed. Through the application in the field of domestic remote sensing image classification, the four classifications are further compared and analyzed in terms of methods.  Finally, it summarizes the existing issues of domestic remote sensing image classification application, and predicts the future directions of domestic remote sensing image application.

Key words: image classification technology, domestic satellite remote sensing, image classification application, deep learning