Research and application of remote sensing image intelligent identification system based on GIS services
Aiming to address the problems of low efficiency in sample production,inconvenient usage and management of image detection results,poor user experience,and the lack of a reliable water safety topographic feature AI intelligent extraction system in the water conservancy industry,this study conducts research on a remote sensing image intelligent identification system based on GIS services.Drawing upon technologies such as WebGIS,databases,big data,the internet,and artificial intelligence,this research constructs a system for the management and release of large remote sensing image data,and an automated production and management system for sample datasets.By integrating image preprocessing and raster-to-vector conversion modules into the U-Net model,and adding two residual blocks to deepen the network,a D-Unet model is developed for topographic feature extraction.The results indicate that the remote sensing image intelligent identification system based on GIS services can efficiently manage multi-source satellite and drone remote sensing images and automate the production of sample datasets.It achieves high accuracy in topographic feature identification and offers a good user experience.
万方数据
维普
