The Similarity Effect Analysis of Four Image Similarity Algorithms on Aerosol Spatiotemporal Evolution Map Features
In this paper,a method based on different similarity algorithms is proposed to find and compare the salient features in the spatio-temporal evolution map of aerosols.The salient features in the aerosol spatio-temporal evolution map are identified,and the aerosol spatio-temporal evolution map of the next time period is simulated by shifting the same aerosol spatio-temporal evolution map.The similarity algorithm is used to find the corresponding features in the image of the next time period,and the coordinate difference of the similar feature center position in the two images is compared with the number of translation pixels to determine the advantages and disadvantages of the similarity algorithm used.The simulation analysis experiment is designed.Through the experimental test,the images with known moving different pixel numbers are hierarchically solved,and the calculation effects of different similarity algorithms are comprehensively compared.Through the results of simulation comparison and comparison with the actual wind tower data,it is found that among the four similarity algorithms,Ahash algorithm and Dhash algorithm perform well and the accuracy fluctuates less.The above conclusions can provide a reference for the feature search and comparison method of similarity algorithm in aerosol density map.
spatial and temporal evolution of aerosolwind speed measurementsimilarity analysisfeature comparison
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