Fast Haze Removal for a Single Remote Sensing Image Using Dark Channel Prior

摘要：

　　Remote sensing images are widely used in various fields.However,they always suffer from the bad weather conditions which also affect their sufficient usage.In order to solve this problem,we propose a simple but effective method to remove haze from a single remote sensing image.Our work is based on the dark channel prior and a common haze imaging model.To eliminate artifacts,we use a low-pass Gaussian filter to refine the coarse estimated atmospheric veil.The experimental results show that our approach achieves good results with very little processing time.

关键词： remote sensing image dehazing dark channel gaussian filter

作者: Jiao Long Zhenwei Shi Wei Tang

作者单位: Image Center, School of Astronautics Beijing University of Aeronautics and Astronautics Beijing, P.R. China, 100191

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-4

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）