Advances of geo-spatial intelligence at LIESMARS

• Main Authors: Deren Li, Zhenfeng Shao, Ruiqian Zhang
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2020-01-01
• Series: Geo-spatial Information Science
• Subjects: artificial intelligence; geo-spatial information science (gsis); block adjustment; big data; automatic change detection; earth observation brain (eob); smart geo-spatial service (sgss)
• Online Access: http://dx.doi.org/10.1080/10095020.2020.1718001

The enhancement of computing power, the maturity of learning algorithms, and the richness of application scenarios make Artificial Intelligence (AI) solution increasingly attractive when solving Geo-spatial Information Science (GSIS) problems. These include image matching, image target detection, change detection, image retrieval, and for generating data models of various types. This paper discusses the connection and synthesis between AI and GSIS in block adjustment, image search and discovery in big databases, automatic change detection, and detection of abnormalities, demonstrating that AI can integrate GSIS. Moreover, the concept of Earth Observation Brain and Smart Geo-spatial Service (SGSS) is introduced in the end, and it is expected to promote the development of GSIS into broadening applications.