The paper develops a multiple matching attenuation method based on extended filtering in the curvelet domain,which combines the traditional Wiener filtering method with the matching attenuation method in curvelet doma...The paper develops a multiple matching attenuation method based on extended filtering in the curvelet domain,which combines the traditional Wiener filtering method with the matching attenuation method in curvelet domain.Firstly,the method uses the predicted multiple data to generate the Hilbert transform records,time derivative records and time derivative records of Hilbert transform.Then,the above records are transformed into the curvelet domain and multiple matching attenuation based on least squares extended filtering is performed.Finally,the attenuation results are transformed back into the time-space domain.Tests on the model data and field data show that the method proposed in the paper effectively suppress the multiples while preserving the primaries well.Furthermore,it has higher accuracy in eliminating multiple reflections,which is more suitable for the multiple attenuation tasks in the areas with complex structures compared to the time-space domain extended filtering method and the conventional curvelet transform method.展开更多
Let G be a connected graph having a perfect matching.The graph G is said to be induced matching(IM)extendable if every induced matching M of G is contained in a perfect matching of G.In this paper,we show that Halin g...Let G be a connected graph having a perfect matching.The graph G is said to be induced matching(IM)extendable if every induced matching M of G is contained in a perfect matching of G.In this paper,we show that Halin graph G=T∪C is IM-extendable if and only if its characteristic tree T is isomorphic to K_(1,3),K_(1,5),K_(1,7) or S_(2,2).展开更多
The integration of the Lab model with the extended histogram of oriented gradients （EHOG） is proposed to improve the accuracy of human appearance matching across disjoint camera views under perturbations such as ill...The integration of the Lab model with the extended histogram of oriented gradients （EHOG） is proposed to improve the accuracy of human appearance matching across disjoint camera views under perturbations such as illumination changes and different viewing angles. For the Lab model that describes the global information of observations, a sorted nearest neighbor clustering method is proposed for color clustering and then a partitioned color matching method is used to calculate the color similarity between observations. The Bhattacharya distance is employed for the textural similarity calculation of the EHOG which describes the local information. The global information, which is robust to different viewing angles and scale changes, describes the observations well. Meanwhile, the use of local information, which is robust to illumination changes, can strengthen the discriminative ability of the method. The integration of global and local information improves the accuracy and robustness of the proposed matching approach. Experiments are carried out indoors, and the results show a high matching accuracy of the proposed method.展开更多
Feature-based image matching algorithms play an indispensable role in automatic target recognition （ATR）. In this work, a fast image matching algorithm （FIMA） is proposed which utilizes the geometry feature of ext...Feature-based image matching algorithms play an indispensable role in automatic target recognition （ATR）. In this work, a fast image matching algorithm （FIMA） is proposed which utilizes the geometry feature of extended centroid （EC） to build affine invariants. Based on at-fine invariants of the length ratio of two parallel line segments, FIMA overcomes the invalidation problem of the state-of-the-art algorithms based on affine geometry features, and increases the feature diversity of different targets, thus reducing misjudgment rate during recognizing targets. However, it is found that FIMA suffers from the parallelogram contour problem and the coincidence invalidation. An advanced FIMA is designed to cope with these problems. Experiments prove that the proposed algorithms have better robustness for Gaussian noise, gray-scale change, contrast change, illumination and small three-dimensional rotation. Compared with the latest fast image matching algorithms based on geometry features, FIMA reaches the speedup of approximate 1.75 times. Thus, FIMA would be more suitable for actual ATR applications.展开更多
增程式电动汽车是以纯电能驱动的车辆,通过动力蓄电池和一个小型的增程器(Auxiliary Power Unit)为车辆提供电能,在增加了车辆续航里程的同时,工况适应性也随之提高,被评为目前具有较高研发前景的新能源汽车[1]。本文以城市SUV车型的增...增程式电动汽车是以纯电能驱动的车辆,通过动力蓄电池和一个小型的增程器(Auxiliary Power Unit)为车辆提供电能,在增加了车辆续航里程的同时,工况适应性也随之提高,被评为目前具有较高研发前景的新能源汽车[1]。本文以城市SUV车型的增程式电动汽车为需求目标进行研究。根据整车参数及制定的控制策略,基于AVL Cruise软件为平台建立性能仿真模型;建立Simulink控制策略模型;分别在短途行驶模式和长途行驶模式下选定符合相应模式的行驶工况进行联合仿真分析。结果表明,整车动力性及续航里程均能达到初始的设计目标,为增程式电动汽车的技术拓展和多样的控制策略提供可行性方案。展开更多
基金funded by the Wenhai Program of the ST Fund of Laoshan Laboratory (No.202204803)the National Natural Science Foundation of China (Nos.42074138,42206195)+1 种基金the National Key R&D Program of China (No.2022YFC2803501)the Research Project of the China National Petroleum Corporation (No.2021ZG02)。
文摘The paper develops a multiple matching attenuation method based on extended filtering in the curvelet domain,which combines the traditional Wiener filtering method with the matching attenuation method in curvelet domain.Firstly,the method uses the predicted multiple data to generate the Hilbert transform records,time derivative records and time derivative records of Hilbert transform.Then,the above records are transformed into the curvelet domain and multiple matching attenuation based on least squares extended filtering is performed.Finally,the attenuation results are transformed back into the time-space domain.Tests on the model data and field data show that the method proposed in the paper effectively suppress the multiples while preserving the primaries well.Furthermore,it has higher accuracy in eliminating multiple reflections,which is more suitable for the multiple attenuation tasks in the areas with complex structures compared to the time-space domain extended filtering method and the conventional curvelet transform method.
基金Supported by the National Natural Science Foundation of China(Grant Nos.61702291,11801371)Key Research Project in Universities of Henan Province(Grant No.21B110004)。
文摘Let G be a connected graph having a perfect matching.The graph G is said to be induced matching(IM)extendable if every induced matching M of G is contained in a perfect matching of G.In this paper,we show that Halin graph G=T∪C is IM-extendable if and only if its characteristic tree T is isomorphic to K_(1,3),K_(1,5),K_(1,7) or S_(2,2).
基金The National Natural Science Foundation of China(No.60972001)the Science and Technology Plan of Suzhou City(No.SG201076)
文摘The integration of the Lab model with the extended histogram of oriented gradients （EHOG） is proposed to improve the accuracy of human appearance matching across disjoint camera views under perturbations such as illumination changes and different viewing angles. For the Lab model that describes the global information of observations, a sorted nearest neighbor clustering method is proposed for color clustering and then a partitioned color matching method is used to calculate the color similarity between observations. The Bhattacharya distance is employed for the textural similarity calculation of the EHOG which describes the local information. The global information, which is robust to different viewing angles and scale changes, describes the observations well. Meanwhile, the use of local information, which is robust to illumination changes, can strengthen the discriminative ability of the method. The integration of global and local information improves the accuracy and robustness of the proposed matching approach. Experiments are carried out indoors, and the results show a high matching accuracy of the proposed method.
基金Projects(2012AA010901,2012AA01A301)supported by National High Technology Research and Development Program of ChinaProjects(61272142,61103082,61003075,61170261,61103193)supported by the National Natural Science Foundation of ChinaProjects(B120601,CX2012A002)supported by Fund Sponsor Project of Excellent Postgraduate Student of NUDT,China
文摘Feature-based image matching algorithms play an indispensable role in automatic target recognition （ATR）. In this work, a fast image matching algorithm （FIMA） is proposed which utilizes the geometry feature of extended centroid （EC） to build affine invariants. Based on at-fine invariants of the length ratio of two parallel line segments, FIMA overcomes the invalidation problem of the state-of-the-art algorithms based on affine geometry features, and increases the feature diversity of different targets, thus reducing misjudgment rate during recognizing targets. However, it is found that FIMA suffers from the parallelogram contour problem and the coincidence invalidation. An advanced FIMA is designed to cope with these problems. Experiments prove that the proposed algorithms have better robustness for Gaussian noise, gray-scale change, contrast change, illumination and small three-dimensional rotation. Compared with the latest fast image matching algorithms based on geometry features, FIMA reaches the speedup of approximate 1.75 times. Thus, FIMA would be more suitable for actual ATR applications.
文摘增程式电动汽车是以纯电能驱动的车辆,通过动力蓄电池和一个小型的增程器(Auxiliary Power Unit)为车辆提供电能,在增加了车辆续航里程的同时,工况适应性也随之提高,被评为目前具有较高研发前景的新能源汽车[1]。本文以城市SUV车型的增程式电动汽车为需求目标进行研究。根据整车参数及制定的控制策略,基于AVL Cruise软件为平台建立性能仿真模型;建立Simulink控制策略模型;分别在短途行驶模式和长途行驶模式下选定符合相应模式的行驶工况进行联合仿真分析。结果表明,整车动力性及续航里程均能达到初始的设计目标,为增程式电动汽车的技术拓展和多样的控制策略提供可行性方案。
