Abstract: Asteroids are metallic or rocky celestial bodies widely distributed in the solar system, ranging in diameter from meters to hundreds of kilometers. They contain information from the early stages of the solar system and may intersect with Earth's orbit and potentially collide with the planet. Therefore, studying the physical parameters, material composition, and surface properties of asteroids is important for understanding the formation and evolution of planets and small celestial bodies in the solar system, as well as for near-earth object defense. Using data obtained from Minor Planet Center (MPC), small near-earth asteroids with a diameter of less than 160 meters including some potentially hazardous asteroids (PHA), were selected as research objects. Based on Near-Earth Asteroid Thermal Model (NEATM), observation data of the Wide-field Infrared Survey Explorer (WISE) was used to calculate the orbital data of 67 small-sized near-Earth asteroids during WISE observation epoch using a dynamic model. Reflection light from the Sun was corrected using a reflection model, diameters and albedos of these asteroids were then computed. Fitting process used Markov Chain Monte Carlo (MCMC) method, and results were compared and analyzed with the research results from WISE team and data from MPC to give the classification characteristics. This research provides powerful support for the observation and theory of asteroids and can better understand the characteristics and evolution of near-earth asteroids.