BCAS: Nice to meet you in Beijing Dr. Campbell. You are a disinguished scienist in remote sensing. Would you like to introduce a litle bit about yourself? Dr. Campbell: I joined Canada Center for Remote Sensing (CCRS)...BCAS: Nice to meet you in Beijing Dr. Campbell. You are a disinguished scienist in remote sensing. Would you like to introduce a litle bit about yourself? Dr. Campbell: I joined Canada Center for Remote Sensing (CCRS) in 1990, starting off doing missions with the United Nations Office of Outer Space Affairs to South America, and later led airborne radar programs there. In 1993 we got the funding from the IDRC and展开更多
Narrowband radar has been successfully used for high resolution imaging of fast rotating targets by exploiting their micro-motion features.In some practical situations,however,the target image may suffer from aliasing...Narrowband radar has been successfully used for high resolution imaging of fast rotating targets by exploiting their micro-motion features.In some practical situations,however,the target image may suffer from aliasing due to the fixed pulse repetition interval(PRI)of traditional radar scheme.In this work,the random PRI signal associated with compressed sensing(CS)theory was introduced for aliasing reduction to obtain high resolution images of fast rotating targets.To circumvent the large-scale dictionary and high computational complexity problem arising from direct application of CS theory,the low resolution image was firstly generated by applying a modified generalized Radon transform on the time-frequency domain,and then the dictionary was scaled down by random undersampling as well as the atoms extraction according to those strong scattering areas of the low resolution image.The scale-down-dictionary CS(SDD-CS)processing scheme was detailed and simulation results show that the SDD-CS scheme for narrowband radar can achieve preferable images with no aliasing as well as acceptable computational cost.展开更多
文摘BCAS: Nice to meet you in Beijing Dr. Campbell. You are a disinguished scienist in remote sensing. Would you like to introduce a litle bit about yourself? Dr. Campbell: I joined Canada Center for Remote Sensing (CCRS) in 1990, starting off doing missions with the United Nations Office of Outer Space Affairs to South America, and later led airborne radar programs there. In 1993 we got the funding from the IDRC and
基金Projects(61171133,61271442)supported by the National Natural Science Foundation of ChinaProject(61025006)supported by the National Natural Science Foundation for Distinguished Young Scholars of ChinaProject(B110404)supported by the Innovation Program for Excellent Postgraduates of National University of Defense Technology,China
文摘Narrowband radar has been successfully used for high resolution imaging of fast rotating targets by exploiting their micro-motion features.In some practical situations,however,the target image may suffer from aliasing due to the fixed pulse repetition interval(PRI)of traditional radar scheme.In this work,the random PRI signal associated with compressed sensing(CS)theory was introduced for aliasing reduction to obtain high resolution images of fast rotating targets.To circumvent the large-scale dictionary and high computational complexity problem arising from direct application of CS theory,the low resolution image was firstly generated by applying a modified generalized Radon transform on the time-frequency domain,and then the dictionary was scaled down by random undersampling as well as the atoms extraction according to those strong scattering areas of the low resolution image.The scale-down-dictionary CS(SDD-CS)processing scheme was detailed and simulation results show that the SDD-CS scheme for narrowband radar can achieve preferable images with no aliasing as well as acceptable computational cost.
