Research on Cloud Removal Based on Combination of Domestic HISEA-1 SAR and Optical Image
For a long time,the cloud problem in optical image has been a difficult problem and challenge hindering the research and application of remote sensing science.It is of great significance to carry out cloud removal by remote sensing images,especially for emergency rescue work of geological disasters caused by severe changes in surface structure caused by extreme climate.Aiming at the problem of cloud removal from remote sensing images,based on the physical characteristics of cloud areas in optical images,this paper conducts a joint cloud removal study on domestic HISEA-1 SAR and GF-6 multispectral images through the combined method of principal component analysis and frequency histogram matching.Qualitative and quantitative evaluations are conducted on the results of cloud removal.The results show that this non-homologous joint cloud removal method is feasible and achieves ideal cloud removal effect.This method not only effectively restores the information of the ground objects in the cloud coverage area,but also enhances the texture structural features of the ground objects.It has effectively played the hidden advantages of multi-source data and greatly improved the interpretability of images.It can provide a new idea for satellite image cloud removal,and also provide a powerful guarantee for emergency rescue work.
万方数据
维普
