@Article{cmes.2021.013568, AUTHOR = {Xiang Wang, Jingxian Liu, Osamah Ibrahim Khalaf, Zhao Liu}, TITLE = {Remote Sensing Monitoring Method Based on BDS-Based Maritime Joint Positioning Model}, JOURNAL = {Computer Modeling in Engineering \& Sciences}, VOLUME = {127}, YEAR = {2021}, NUMBER = {2}, PAGES = {801--818}, URL = {http://www.techscience.com/CMES/v127n2/42226}, ISSN = {1526-1506}, ABSTRACT = {Complicated sea conditions have a serious impact on ship navigation safety and even maritime accidents. Accordingly, this paper proposes a remote sensing monitoring method based on the Beidou Navigation Satellite System (BDS) maritime joint positioning model. This method is mainly based on the BDS and multiple Global Navigation Satellite Systems (GNSS) to build a data fusion model, which can capture more steady positioning, navigation, and timing (PNT) data. Compared with the current Global Positioning System (GPS) and Global Navigation Satellite System (GLONASS) mandatory used by the International Maritime Organization (IMO), this model has the characteristics of more accurate positioning data and stronger stability. The static and dynamic measurement show that such a model works for maritime ships and maritime engineering. Combined with the Ship’s Automatic Identification System (AIS) and Geographic Information System (GIS), a BDS-based remote sensing monitoring method can cover the world, serve maritime ships and construct maritime engineering.}, DOI = {10.32604/cmes.2021.013568} }