Abstract: Agricultural remote sensing image enhancement is advantageous to extraction and analysis of image information. Firefly algorithm is new intelligent bionic algorithm in recent years. Domestic and foreign research on whether it can be used for agricultural remote sensing image enhancement has not been reported at present. Firstly， incomplete Beta function was used to establish agricultural remote sensing image enhancement model， which was combined with human minimum gray level resolution function for image detail enhancement， each input interval of the pixel gray value was transformed to the appropriate output gray scale interval， and generated image contrast equalization. Secondly， difference operation was updated in the dynamic decision domain radius based on firefly algorithm. Finally， the convergence condition of the optimal parameter was determined， and the algorithm flow was given. The experimental simulation results showed that the agricultural remote sensing image enhancement based on firefly algorithm data was better than histogram algorithm， Retinex algorithm， wavelet transform， fuzzy clustering algorithm about enhancement measure evaluation， phase congruency and universal image quality index， so that it can be used for agricultural remote sensing image enhancement.

Key words: firefly algorithm, Beta function, agricultural remote sensing image, enhancement, gray