Applications Of Hilbert Huang Transform In Remote Sensing Image Processing

With the rapid development of computer technology,a large number of researchers also delve into the field of remote sensing image processing.However,the remote sensing image transmission system is very complicated and the process is very complicated.Coupled with the interference of the transmission medium itself and other irrelevant factors,the definition of remote sensing images is likely to be affected to some extent,which affects the ability of humans to extract information from remote sensing images.Therefore,it has become a hot research issue to enhance the readability of remote sensing images for human beings and obtain high-quality remote sensing images.At present,the traditional wavelet method can be used to process remote sensing images,but there will be image distortion,so it is necessary to improve the traditional algorithm.Hilbert Huang transform algorithm(HHT)is composed of two-dimensional empirical mode decomposition(BEMD)and two-dimensional spectral analysis.This algorithm can improve the traditional algorithm and improve the remote sensing image processing effect.Therefore,this paper puts forward HHT algorithm and combines quaternion wavelet transform algorithm(QWT)to process remote sensing images.1.In this paper,a traditional BEMD algorithm is proposed,which is combined with QWT to form an organic whole,which can reduce the noise of remote sensing images.This algorithm can make up for the defects of the original algorithm.First,the remote sensing images are layered by HHT,and each layer of images is systematically analyzed,so that the existence of noise can be clearly known.Secondly,the spectral analysis of remote sensing images is carried out,and then the QWT method is used,which can decompose and denoise remote sensing images skillfully.Experimental results show that this algorithm has advantages in both data and vision.2.In order to further construct the model of fusion processing of denoised remote sensing images,this paper designs an effective method based on BEMD,and then connects QWT to realize the remote sensing image fusion algorithm.The experimental results show that this algorithm can effectively improve the clarity of remote sensing images.