Remote sensing image water body extraction method and system based on cooperative training semi-supervised learning

The invention relates to the technical field of water body remote sensing, provides a remote sensing image water body extraction method and system based on cooperative training semi-supervised learning, and solves the problem that the water body extraction precision is poor due to an insufficient manually-selected sample size when a conventional supervised classification method is adopted for performing remote sensing image water body extraction. The system comprises a remote sensing image feature extraction module, a double-view construction module, a classifier training module and a classification module. The classifier training module comprises an initialization module, a sample marking module, a sample set updating module and an iteration control module. The technical scheme provided by the invention can still ensure the high-resolution remote sensing image water body extraction precision under a small sample condition, thereby reducing the workload and the complexity of manually marking a training sample.