Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888250
Tao-rang Xu, Chao Yang, Bin Cai, Yongli Zhu
Landing aerial crafts, such as helicopters, on the board of naval vessels of small or medium size is a difficult and risky task for pilots since the tonnages are not large enough which makes the ships always swinging along with ocean waves. Thus the landing areas are moving all the way with six degrees of freedom randomly. Even, this mission will become dangerous and deadly when the weather is stormy. Here, we design a real-time and automatic position sensing system to track, locate and help a helicopter to land on deck safely under all weather conditions. For the sake of practical application, we have not only adopted some ready and mature computational technologies from image processing, photogrammetry and computer vision, but also chosen some simple but effective optical elements to reduce the computational complexity. The system is composed of camera units, image-processing unit, controlling system and fiber optical communication unit. Experimental results show our system is capable of all-weather, real-time, robust and automatic landing mission.
{"title":"An aerocraft photogrammetry position sensing system","authors":"Tao-rang Xu, Chao Yang, Bin Cai, Yongli Zhu","doi":"10.1109/SIPROCESS.2016.7888250","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888250","url":null,"abstract":"Landing aerial crafts, such as helicopters, on the board of naval vessels of small or medium size is a difficult and risky task for pilots since the tonnages are not large enough which makes the ships always swinging along with ocean waves. Thus the landing areas are moving all the way with six degrees of freedom randomly. Even, this mission will become dangerous and deadly when the weather is stormy. Here, we design a real-time and automatic position sensing system to track, locate and help a helicopter to land on deck safely under all weather conditions. For the sake of practical application, we have not only adopted some ready and mature computational technologies from image processing, photogrammetry and computer vision, but also chosen some simple but effective optical elements to reduce the computational complexity. The system is composed of camera units, image-processing unit, controlling system and fiber optical communication unit. Experimental results show our system is capable of all-weather, real-time, robust and automatic landing mission.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129349192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888292
Guang-hui Wang, Hao-chen Wang, Mingshuo Zhu
A new criterion is proposed in this paper which employs the grayscale erosion to measure the concentration of different time-frequency representations/distributions. In contrast to some widely used Concentration Measures proposed by L. Stankovic and L. Jones, this method combines the both width and peakedness information of the auto-term area. Moreover, it can be used in the multi-component signal analysis when the minimum mean square error criterion is invalid.
{"title":"A time-frequency concentration criterion using grayscale erosion","authors":"Guang-hui Wang, Hao-chen Wang, Mingshuo Zhu","doi":"10.1109/SIPROCESS.2016.7888292","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888292","url":null,"abstract":"A new criterion is proposed in this paper which employs the grayscale erosion to measure the concentration of different time-frequency representations/distributions. In contrast to some widely used Concentration Measures proposed by L. Stankovic and L. Jones, this method combines the both width and peakedness information of the auto-term area. Moreover, it can be used in the multi-component signal analysis when the minimum mean square error criterion is invalid.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"308 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115934974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888300
L. WeiPing, He Yang, Tang Zongxi
Comparing with conventional airborne synthetic aperture radar (SAR), the signal characteristics of highly-maneuvering (HM) platform SAR are much more complicated that makes the HM-SAR imaging difficult to process. To address this problem, this paper establishes the HM-SAR signal model in wavenumber-domain and analyses the signal characteristics for SAR imaging, based on which the relationship between the HM-SAR echoes and the spectrum of SAR image is revealed. Then, the two dimensional Nyquist sampling rates for imaging are designated accordingly and an effective time-domain image process is developed with high accuracy. Simulation results are presented and analyzed to validate the performance of the proposed method.
{"title":"Analyses of signal characteristics of highly-maneuvering platform SAR and time-domain imaging method","authors":"L. WeiPing, He Yang, Tang Zongxi","doi":"10.1109/SIPROCESS.2016.7888300","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888300","url":null,"abstract":"Comparing with conventional airborne synthetic aperture radar (SAR), the signal characteristics of highly-maneuvering (HM) platform SAR are much more complicated that makes the HM-SAR imaging difficult to process. To address this problem, this paper establishes the HM-SAR signal model in wavenumber-domain and analyses the signal characteristics for SAR imaging, based on which the relationship between the HM-SAR echoes and the spectrum of SAR image is revealed. Then, the two dimensional Nyquist sampling rates for imaging are designated accordingly and an effective time-domain image process is developed with high accuracy. Simulation results are presented and analyzed to validate the performance of the proposed method.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114679998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888287
Malik Asfandyar, Mehmood Nawaz, Muddsser Hussain
High Efficiency Video Coding (HEVC) is the latest video coding standard and has achieved 50% better compression performance compared to prior video standards competing with (2K, 4K, and 8K) video resolutions. HEVC adopts flexible quad-tree structure, resulting 60% of inter prediction complexity. A fast coding unit decision taking algorithm is proposed which can reduce the coding tree unit (CTU) inter mode complexity of HEVC, by enlarging the coding unit (CU), prediction unit (PU) and transform unit (TU) sizes. The algorithm first extends the coding unit size and then classifies it into different units with respect to the information collected from previous encoded frames. The probability model is used to take decision for the splitting of coding unit. Experimental results achieved an average reduction of encoding time by 62% with an average decrease of 0.01% dB in PSNR and negligible bit-rate increment.
{"title":"Accelerated CU decision based on enlarged CU sizes for HEVC UHD videos","authors":"Malik Asfandyar, Mehmood Nawaz, Muddsser Hussain","doi":"10.1109/SIPROCESS.2016.7888287","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888287","url":null,"abstract":"High Efficiency Video Coding (HEVC) is the latest video coding standard and has achieved 50% better compression performance compared to prior video standards competing with (2K, 4K, and 8K) video resolutions. HEVC adopts flexible quad-tree structure, resulting 60% of inter prediction complexity. A fast coding unit decision taking algorithm is proposed which can reduce the coding tree unit (CTU) inter mode complexity of HEVC, by enlarging the coding unit (CU), prediction unit (PU) and transform unit (TU) sizes. The algorithm first extends the coding unit size and then classifies it into different units with respect to the information collected from previous encoded frames. The probability model is used to take decision for the splitting of coding unit. Experimental results achieved an average reduction of encoding time by 62% with an average decrease of 0.01% dB in PSNR and negligible bit-rate increment.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114703074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888290
Kaizhan Huai, Yejun Li, Mingfang Ni, Zhanke Yu, Xiaoguo Wang
Compressive sensing (CS) is a new framework for simulations sensing and compressive. How to reconstruct a sparse signal from limited measurements is the key problem in CS. For solving the reconstruction problem of a sparse signal, we proposed a self-adaptive proximal point algorithm (PPA). This algorithm can handle the sparse signal reconstruction by solving a substituted problem — ℓ1 problem. At last, the numerical results shows that the proposed method is more effective compared with the compressive sampling matching pursuit (CoSaMP).
{"title":"A self-adaptive proximal point algorithm for signal reconstruction in compressive sensing","authors":"Kaizhan Huai, Yejun Li, Mingfang Ni, Zhanke Yu, Xiaoguo Wang","doi":"10.1109/SIPROCESS.2016.7888290","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888290","url":null,"abstract":"Compressive sensing (CS) is a new framework for simulations sensing and compressive. How to reconstruct a sparse signal from limited measurements is the key problem in CS. For solving the reconstruction problem of a sparse signal, we proposed a self-adaptive proximal point algorithm (PPA). This algorithm can handle the sparse signal reconstruction by solving a substituted problem — ℓ1 problem. At last, the numerical results shows that the proposed method is more effective compared with the compressive sampling matching pursuit (CoSaMP).","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126908785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888233
Baohua Yang, Jingfang Wang
Iris image quality is an important factor in an automatic iris recognition system, the recognition effectiveness would be influenced. A method of iris image quality evaluation is proposed based on gradation feature in this study, the defocus and motion blur are improved in the process of acquiring iris images. Iris location detection, iris visibility and iris definition are introduced in the research, and a real-time evaluation can be realized to the acquired images. This method is compared with the existing methods, and the experimental results indicate that our method obtains better performance, the iris images with high quality can be picked out quickly and effectively.
{"title":"Iris image quality evaluation method research based on gradation features","authors":"Baohua Yang, Jingfang Wang","doi":"10.1109/SIPROCESS.2016.7888233","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888233","url":null,"abstract":"Iris image quality is an important factor in an automatic iris recognition system, the recognition effectiveness would be influenced. A method of iris image quality evaluation is proposed based on gradation feature in this study, the defocus and motion blur are improved in the process of acquiring iris images. Iris location detection, iris visibility and iris definition are introduced in the research, and a real-time evaluation can be realized to the acquired images. This method is compared with the existing methods, and the experimental results indicate that our method obtains better performance, the iris images with high quality can be picked out quickly and effectively.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125868220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888358
Tengwei Li, Kanglong Cai, Jianbing Li, Tao Wang
Identification and mitigation of ground clutter are crucial problems in radar meteorology because the ground-clutters contaminate radar echoes and mask weather echoes. In this paper, two algorithms, Spectral Stationary Echo Filter (SSEF) and the clutter mitigation decision (CMD), are introduced to address the contamination of ground clutter on radar products, and performances of them are tested with raw data of an X-band radar in Foshan Nanhai radar site. Moreover, the CMD algorithm is adopted to prevent the zero velocity weather echoes from being filtered by the SSEF filter. Results show the good performance of the approach.
{"title":"The SSEF filter and the CMD algorithm on the X-band dual-polarization Doppler weather radar","authors":"Tengwei Li, Kanglong Cai, Jianbing Li, Tao Wang","doi":"10.1109/SIPROCESS.2016.7888358","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888358","url":null,"abstract":"Identification and mitigation of ground clutter are crucial problems in radar meteorology because the ground-clutters contaminate radar echoes and mask weather echoes. In this paper, two algorithms, Spectral Stationary Echo Filter (SSEF) and the clutter mitigation decision (CMD), are introduced to address the contamination of ground clutter on radar products, and performances of them are tested with raw data of an X-band radar in Foshan Nanhai radar site. Moreover, the CMD algorithm is adopted to prevent the zero velocity weather echoes from being filtered by the SSEF filter. Results show the good performance of the approach.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127253887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888324
Guojun Li, Changrong Ye, Xiaona Zhou, Bao-Jun Yang
Existing decision-level information fusion methods for weak electrophysiological signals detection cannot effectively integrate conflicting information. Meanwhile, data-level information fusion methods lose physiological significance of channels. In this study, the evidence on each channel with a soft-decision method is first proposed. Then, a general multi-channel flexible information fusion detection framework for weak electrophysiological signals is established based on DSmT uncertain information fusion theory. Microvolt T wave alternans in ECG signal as an example, the proposed algorithm is verified on the simulation data and the measured data under various kinds of strong noise environments. These results demonstrate that the proposed method enables robust detection of weak electrocardiogram signals under strong noise background with significantly higher detection probability in the case of low false alarm probability by comparison with the existing decision-level fusion method, applying to the weak electrophysiological signals detection for mobile monitoring environments.
{"title":"A general detection framework for weak electrophysiological signals based on multi-channel flexible information fusion","authors":"Guojun Li, Changrong Ye, Xiaona Zhou, Bao-Jun Yang","doi":"10.1109/SIPROCESS.2016.7888324","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888324","url":null,"abstract":"Existing decision-level information fusion methods for weak electrophysiological signals detection cannot effectively integrate conflicting information. Meanwhile, data-level information fusion methods lose physiological significance of channels. In this study, the evidence on each channel with a soft-decision method is first proposed. Then, a general multi-channel flexible information fusion detection framework for weak electrophysiological signals is established based on DSmT uncertain information fusion theory. Microvolt T wave alternans in ECG signal as an example, the proposed algorithm is verified on the simulation data and the measured data under various kinds of strong noise environments. These results demonstrate that the proposed method enables robust detection of weak electrocardiogram signals under strong noise background with significantly higher detection probability in the case of low false alarm probability by comparison with the existing decision-level fusion method, applying to the weak electrophysiological signals detection for mobile monitoring environments.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127356108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888310
Yinyin Tang, Yueke Wang, Jianyun Chen
Distance information is useful for satellite constellation. Evaluating the accuracy of spread spectrum receiver under finite bandwidth is still hard and few researches focus on that. In this paper, we build the signal model of DSSS signal under finite bandwidth, and then derive the mathematic form of error function. Furthermore, we propose the error factor, which is decided by bandwidth and early-to-late correlator space. Finally, we conclude that the error factor gradually oscillates to a steady value with the bandwidth increase; the error decreases with a smaller correlator space if the bandwidth is large enough, but might increase if the bandwidth is relative narrow. Simulation results verify the effectiveness of our analysis.
{"title":"Impact of finite bandwidth for inter-satellite ranging using direct sequence spread spectrum signal","authors":"Yinyin Tang, Yueke Wang, Jianyun Chen","doi":"10.1109/SIPROCESS.2016.7888310","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888310","url":null,"abstract":"Distance information is useful for satellite constellation. Evaluating the accuracy of spread spectrum receiver under finite bandwidth is still hard and few researches focus on that. In this paper, we build the signal model of DSSS signal under finite bandwidth, and then derive the mathematic form of error function. Furthermore, we propose the error factor, which is decided by bandwidth and early-to-late correlator space. Finally, we conclude that the error factor gradually oscillates to a steady value with the bandwidth increase; the error decreases with a smaller correlator space if the bandwidth is large enough, but might increase if the bandwidth is relative narrow. Simulation results verify the effectiveness of our analysis.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125236977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-01DOI: 10.1109/SIPROCESS.2016.7888306
Qian Zhao, Yawei Li, Ning Yang, Yuliang Yang, Mengyu Zhu
This paper proposes a recognition approach for Semaphore flag signaling (SFS). We use the improved convolutional neural network (CNN) to classify the SFS. In the experiment we made Semaphore flag signaling system (SFSS), which based on CNN. The image can be directly input into the SFSS. Each alphabetic character or control signal is indicated by a particular flag pattern. We shoot the SFS videos by a monocular camera. The dataset is divided into five SFS classes. The improved CNN uses the Relu activation function, the max-pooling methods. It's alway use SFS data whitening and grayscale preprocessing methods. The improved CNN provides for partial invariance to different light, angles, scenes, and a group of people. The result shows that our approach classifies five SFS classes with 99.95% accuracy.
{"title":"A convolutional neural network approach for semaphore flag signaling recognition","authors":"Qian Zhao, Yawei Li, Ning Yang, Yuliang Yang, Mengyu Zhu","doi":"10.1109/SIPROCESS.2016.7888306","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888306","url":null,"abstract":"This paper proposes a recognition approach for Semaphore flag signaling (SFS). We use the improved convolutional neural network (CNN) to classify the SFS. In the experiment we made Semaphore flag signaling system (SFSS), which based on CNN. The image can be directly input into the SFSS. Each alphabetic character or control signal is indicated by a particular flag pattern. We shoot the SFS videos by a monocular camera. The dataset is divided into five SFS classes. The improved CNN uses the Relu activation function, the max-pooling methods. It's alway use SFS data whitening and grayscale preprocessing methods. The improved CNN provides for partial invariance to different light, angles, scenes, and a group of people. The result shows that our approach classifies five SFS classes with 99.95% accuracy.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121952157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：