Among hyperspectral imaging technologies, interferometric spectral imaging is widely used in remote sening due to advantages of large luminous flux and high resolution. However, with complicated mechanism, interferome...Among hyperspectral imaging technologies, interferometric spectral imaging is widely used in remote sening due to advantages of large luminous flux and high resolution. However, with complicated mechanism, interferometric imaging faces the impact of multi-stage degradation. Most exsiting interferometric spectrum reconstruction methods are based on tradition model-based framework with multiple steps, showing poor efficiency and restricted performance. Thus, we propose an interferometric spectrum reconstruction method based on degradation synthesis and deep learning.Firstly, based on imaging mechanism, we proposed an mathematical model of interferometric imaging to analyse the degradation components as noises and trends during imaging. The model consists of three stages, namely instrument degradation, sensing degradation, and signal-independent degradation process. Then, we designed calibration-based method to estimate parameters in the model, of which the results are used for synthesizing realistic dataset for learning-based algorithms.In addition, we proposed a dual-stage interferogram spectrum reconstruction framework, which supports pre-training and integration of denoising DNNs. Experiments exhibits the reliability of our degradation model and synthesized data, and the effectiveness of the proposed reconstruction method.展开更多
Using the observations of the 630-nm all-sky imagers(ASIs)located in the geomagnetic conjugate points in the American sector from 2014 to 2017,this study statistically analyzed the features of conjugate equatorial pla...Using the observations of the 630-nm all-sky imagers(ASIs)located in the geomagnetic conjugate points in the American sector from 2014 to 2017,this study statistically analyzed the features of conjugate equatorial plasma bubbles(EPBs),including their occurrence rate,zonal width,location and zonal drift velocity.The results show that the occurrence rate of the EPBs that occur simultaneously at geomagnetic conjugate points is~84%.The zonal widths of the EPBs are mainly~100 km,and the width differences of EPBs between the northern and southern hemispheres are mainly within±30 km.The zonal displacements of the center locations of the northern and southern EPBs are within±50 km.The zonal drift velocities of the northern and southern EPBs are nearly equal.However,it should be noted that the velocity of the EPBs in the northern hemisphere is 10%faster than that in the southern hemisphere.The results suggest that conjugate EPBs are common.Moreover,the non-conjugate EPBs in the northern and southern hemisphere can occur occasionally,which is probably associated with the different ionospheric backgrounds between the two hemispheres.The features of the conjugate EPBs as shown in this study provides support for the nowcasting of EPBs in the conjugate hemispheres.展开更多
文摘Among hyperspectral imaging technologies, interferometric spectral imaging is widely used in remote sening due to advantages of large luminous flux and high resolution. However, with complicated mechanism, interferometric imaging faces the impact of multi-stage degradation. Most exsiting interferometric spectrum reconstruction methods are based on tradition model-based framework with multiple steps, showing poor efficiency and restricted performance. Thus, we propose an interferometric spectrum reconstruction method based on degradation synthesis and deep learning.Firstly, based on imaging mechanism, we proposed an mathematical model of interferometric imaging to analyse the degradation components as noises and trends during imaging. The model consists of three stages, namely instrument degradation, sensing degradation, and signal-independent degradation process. Then, we designed calibration-based method to estimate parameters in the model, of which the results are used for synthesizing realistic dataset for learning-based algorithms.In addition, we proposed a dual-stage interferogram spectrum reconstruction framework, which supports pre-training and integration of denoising DNNs. Experiments exhibits the reliability of our degradation model and synthesized data, and the effectiveness of the proposed reconstruction method.
基金supported by the National Natural Science Foundation of China(Grant Nos.41874185,41574147,41904142,42104165)the West Light Cross-Disciplinary Innovation team of Chinese Academy of Sciences(Grant No.E1294301)。
文摘Using the observations of the 630-nm all-sky imagers(ASIs)located in the geomagnetic conjugate points in the American sector from 2014 to 2017,this study statistically analyzed the features of conjugate equatorial plasma bubbles(EPBs),including their occurrence rate,zonal width,location and zonal drift velocity.The results show that the occurrence rate of the EPBs that occur simultaneously at geomagnetic conjugate points is~84%.The zonal widths of the EPBs are mainly~100 km,and the width differences of EPBs between the northern and southern hemispheres are mainly within±30 km.The zonal displacements of the center locations of the northern and southern EPBs are within±50 km.The zonal drift velocities of the northern and southern EPBs are nearly equal.However,it should be noted that the velocity of the EPBs in the northern hemisphere is 10%faster than that in the southern hemisphere.The results suggest that conjugate EPBs are common.Moreover,the non-conjugate EPBs in the northern and southern hemisphere can occur occasionally,which is probably associated with the different ionospheric backgrounds between the two hemispheres.The features of the conjugate EPBs as shown in this study provides support for the nowcasting of EPBs in the conjugate hemispheres.
