Analysis of Multi-dimensional Image Fusion and Joint Information Mining in Landscape Design with Vision Information Mining

Analysis of multi-dimensional image fusion and the ioint information mining in landscape design with vision information mining is studied in the paper. In the question discussed, the images have different spatial resolutions. For example, before making a decision using a distributed detection structure, the targets detected between the sensors must undergo very complex correlation processing. Before starting to merge the images. It must be ensured that each pixel in the related image corresponds to each other, and image matching is the process of comparing these differences to find their similarities. Hence, the latest fusion model is considered to achieve this goal. Through the experimental analysis, the performance is validated.