Quality improvement method of multi-degradation factors for Luojia 1-01 images
The complex nighttime imaging environment will produce blur degradation effects on night-light remote sensing images.To address this problem,a method to improve the quality of night-light re-mote sensing images of Luojia 1-01 is proposed in this paper.First,a comprehensive degradation model of night-light remote sensing images is derived according to the nighttime imaging environment.Then,an improved dark channel algorithm with adaptive transmission factor is proposed to remove airlight in-terference from Luojia 1-01 night-light remote sensing images.Next,Gaussian Point Spread Function(PSF)is used to simulate the light diffusion phenomenon caused by nighttime atmospheric environ-ment.Finally,the light diffusion phenomenon is abated by using image restoration method,and the night-light remote sensing images of Luojia 1-01 is used for experiments in this paper.The results show that the proposed method can effectively reduce the blur degradation caused by the nighttime imaging environment,and provide a better data basis for future image applications.
万方数据
