Multi-uav gas concentration map fusion using the image repair algorithm based on clustered directed diffusion model

摘要

concentration values were imported into Fluent and Matlab to draw a plurality of plane density sub-maps. For the unmeasured blank areas among the adjacent sub-maps, the image repair algorithm based on Clustered Directed Diffusion (CDD) model was used to repairing the sub-maps. Then the sub-maps are fused into a complete gas concentration map. The simulation results and Peak Signal to Noise Ratio(PSNR) show that the image repair algorithm based on CDD model can obtain satisfactory results for the regions with little change in concentration and a narrower blank area. The image repair algorithm based on CDD model can be used to repairing gas concentration maps to some extent.