Application of GIS and Multisensor Technology in Green Urban Garden Landscape Design

Abstract

In order to solve the problem of low definition of the original 3D virtual imaging system, the author proposes the application method of GIS and multisensor technology in green urban garden landscape design. By formulating a hardware design framework, an image collector is selected for image acquisition according to the framework, the image is filtered and denoised by a computer, the processed image is output through laser refraction, and a photoreceptor and a transparent transmission module are used for virtual imaging. Formulate a software design framework, perform noise reduction processing on the collected image through convolutional neural network calculation, and use pixel grayscale calculation to obtain the feature points of the original image, and use C language to set and output the virtual imaging, thus completing the software design. Combined with the above hardware and software design, the design of 3D virtual imaging system in garden landscape design is completed. Construct a comparative experiment to compare with the original system. The results showed the following: The designed system has a significant improvement in the clarity, the original system clarity is 82%~85%, and the image clarity of this system is 85%~90%. In conclusion, the author designed the method to be more effective.