Remote sensing image-based rainfall changes in plain areas and IoT motion image detection

The remote sensing image processed by the computer must be a digital image. The scanned digital data should be sent to CCT and other general carriers as soon as possible and then read by a digital computer. Computer image processing is generally carried out in an image processing system. Computers, monitors, digitizers, tape drives, and other infrastructure and software, such as data input, output, correction, conversion, and classification, together constitute a remote sensing image processing system. Image processing covers features such as correction, transformation, and classification. In recent years, the forms of rainfall, flood control, and drought resistance in the plains have been complex and changeable. According to the characteristics of local rainfall, heat, rain, and flood synchronization, priority is given to the analysis of data with less artificial factors and good consistency and further study of the law of rainfall changes in plains, so as to more accurately guide the use of regional flood control and drought resistance and rain and flood resources. In the design of the artificial intelligence image detection system based on the Internet of Things technology, the advantages of the massive data resources and strong information processing capabilities of the Internet of Things are effectively used to obtain complete, accurate, and timely data resources as a reference for cloud image analysis and processing. In real life, people’s main sources for obtaining and transmitting information are text, voice, and images. As the main means of visual information exchange, motion image detection plays an irreplaceable role. The application of motion image detection processing covers all aspects of our production and life. At present, image processing has been well developed in the fields of mobile Internet, intelligent identification, and multimedia information exchange. © 2021, Saudi Society for Geosciences.