Space weather can affect human production and life,and solar radio burst will seriously affect space weather.Automatic detection of solar radio bursts in real time has a positive effect on space weather warning and pr...Space weather can affect human production and life,and solar radio burst will seriously affect space weather.Automatic detection of solar radio bursts in real time has a positive effect on space weather warning and prediction.Codebook model is used to simulate solar background radio to achieve automatic detection of solar radio bursts in this paper.Firstly,channel normalization was used to eliminate channel difference of original radio data.Then,a new automatic detection method for solar radio bursts based on codebook model was proposed to detect radio bursts.Finally,morphological processing was implemented to obtain burst parameters by detecting binary burst area.The experimental results show that the proposed method is effective.展开更多
Detecting the moving vehicles in jittering traffic scenes is a very difficult problem because of the complex environment.Only by the color features of the pixel or only by the texture features of image cannot establis...Detecting the moving vehicles in jittering traffic scenes is a very difficult problem because of the complex environment.Only by the color features of the pixel or only by the texture features of image cannot establish a suitable background model for the moving vehicles. In order to solve this problem, the Gaussian pyramid layered algorithm is proposed, combining with the advantages of the Codebook algorithm and the Local binary patterns(LBP) algorithm. Firstly, the image pyramid is established to eliminate the noises generated by the camera shake. Then, codebook model and LBP model are constructed on the low-resolution level and the high-resolution level of Gaussian pyramid, respectively. At last, the final test results are obtained through a set of operations according to the spatial relations of pixels. The experimental results show that this algorithm can not only eliminate the noises effectively, but also save the calculating time with high detection sensitivity and high detection accuracy.展开更多
基金the Natural Science Foundation of China(Grant No.11663007,11703089,41764007,61802337,U1831201)Open Project of Key Laboratory of Celestial Structure and Evolution,Chinese Academy of Sciences(Grant No.OP201510)+2 种基金the Research Foundation of Yunnan Province(No.2018FB100)the Scientific Research of Yunnan Provincial Education Department(No.2018JS011)the Action Plan of Yunnan University Serving for Yunnan.
文摘Space weather can affect human production and life,and solar radio burst will seriously affect space weather.Automatic detection of solar radio bursts in real time has a positive effect on space weather warning and prediction.Codebook model is used to simulate solar background radio to achieve automatic detection of solar radio bursts in this paper.Firstly,channel normalization was used to eliminate channel difference of original radio data.Then,a new automatic detection method for solar radio bursts based on codebook model was proposed to detect radio bursts.Finally,morphological processing was implemented to obtain burst parameters by detecting binary burst area.The experimental results show that the proposed method is effective.
基金Project(61172047)supported by the National Natural Science Foundation of China
文摘Detecting the moving vehicles in jittering traffic scenes is a very difficult problem because of the complex environment.Only by the color features of the pixel or only by the texture features of image cannot establish a suitable background model for the moving vehicles. In order to solve this problem, the Gaussian pyramid layered algorithm is proposed, combining with the advantages of the Codebook algorithm and the Local binary patterns(LBP) algorithm. Firstly, the image pyramid is established to eliminate the noises generated by the camera shake. Then, codebook model and LBP model are constructed on the low-resolution level and the high-resolution level of Gaussian pyramid, respectively. At last, the final test results are obtained through a set of operations according to the spatial relations of pixels. The experimental results show that this algorithm can not only eliminate the noises effectively, but also save the calculating time with high detection sensitivity and high detection accuracy.
