The present application relates to the field of
computer vision language and image recognition, and particularly relates to a semantic description and question-answering
system establishment method and
system for
remote sensing disaster detection, which generates text language description capable of accurately responding to task requirements image under the premise of adding text constraints by using image features, and establishes a mapping relationship between the pixel-level segmentation result and the question-answering
system, and extracts high-level
semantic information, and establishes a question-answering system, which can accurately output answers to disaster inquiry questions. The present application can complete three sub-tasks of semantic segmentation,
sentence description and question-answering system by using a set of network models, thereby saving
computer memory space and improving response speed, and providing
technical support for improving the
automation, intelligent level and
rapid response capability of the
remote sensing disaster detection system.