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| 1 | A Harmful-Intrusion Detection Method Based on Background Reconstruction and Two-Dimensional K-S Test in an Optical Fiber Pre-Warning System显示文摘为光纤维侵入警告前系统(OFIPS ) 的关键技术和主要困难是有害侵入的信号的抽取。在被阶段敏感的光时间域反射计处理以后(-OTDR), 颤动信号能 preliminarily 被提取。通常,这些包括噪音和侵入。这里,侵入能被划分成有害、无害的侵入。关于信号特征的仔细的学习,有害侵入的一个有效抽取方法在纸被建议。在背景重建的部分,第一,所有侵入信号被经常的虚惊率(CFAR ) 首先检测。我们然后重建由提取警报点,时间和振幅的由二部合成的信息的背景。这保证察觉背景由侵入信号组成。在二维的 Kolmogorov-Smirnov (K-S ) 测试的部分,第二提取了侵入以便从所有提取有害的,我们设计一个分离方法。它基于有害侵入的信号特征,它是更短的时间间隔和更高的振幅。在实际 OFIPS,察觉方法在一些典型场面被使用,它包括很多无害的侵入,例如构造地点和忙道路。结果证明我们能有效地提取有害侵入。 | Fukun BI Tong ZHENG Hongquan QU Liping PANG | 2016 | Photonic Sensors2016，6，2： | 5 |
| 2 | A coarse-to-fine image registration method based on visual attention model显示文摘Image registration is fundamental and crucial to remote sensing.However getting highly accurate registration performance automatically and fast for large-field images consistently is a challenge.As a work around to this problem,we propose a new image registration concept based on visual attention in this paper.This concept employs the advantages of feature-based or area-based methods to improve the precision and efficiency of image registration.The key concept of proposed integrated scheme is to make optimum use of the highly prominent details in the full scene by means of visual attention computational mechanism.To testify the validation,comparisons with other classical methods are carried out on real-world images.The experimental results show that the proposed method can effectively perform on multi-view/multi-temporal remote sensing images with outstanding precision and time saving performance. | FENG Jing MA Long BI FuKun ZHANG XueJing CHEN He | 2014 | Science China(Information Sciences)2014，57，12： | 5 |
| 3 | Detection of oil spills in a complex scene of SAR imagery显示文摘We present a method for detecting oil spills in a complex scene of SAR imagery,including segmenting oil spills,and avoiding false alarms.Segmentation is carried out using a multi-time and multi-hierarchical method by dividing the complex sea surface into bright sea and dark sea.Gray-based and edge-based segmentations are done to extract oil spills from bright and dark sea,respectively.The proposed method can extract complete oil spills,obtain better visual results,and increase detection probability more accurately than the traditional method.Based on the surrounding features and the oil spills’features,dark land spots and low contrast dark spots are removed efficiently,thus reducing false alarms.The experimental results demonstrate that the proposed algorithm has fast computation speed,high detection accuracy,and is very useful and effective for detecting oil spills in SAR imagery. | FENG Jing CHEN He BI FuKun LI JunXia WEI Hang | 2014 | Science China(Technological Sciences)2014，57，11： | 4 |
| 4 | Harmful Intrusion Detection Algorithm of Optical Fiber Pre-Warning System Based on Correlation of Orthogonal Polarization Signals显示文摘目前,预付测量基于的光纤维侵入的研究经常的虚惊率(CFAR ) 算法。尽管这些常规方法克服非静止的随机的信号的干扰,仍然在实际应用程序有很多虚惊。这是因为虚惊和侵入的直角的极化信号上没有特定的学习。为了推进,减少虚惊,我们用单个模式的纤维的 birefringence 分析光纤维信号的关联。这篇论文基于二个直角的极化信号的关联建议有害侵入察觉算法。区分虚惊和侵入的建议方法使用关联系数,它能减少虚惊。真实数据的实验,从实际环境镇定,证明在关联的差别是一个柔韧的特征。而且,结果证明建议算法能减少虚惊并且当它在光纤维警告前系统(OFPS ) 被使用时,保证察觉表演。 | Fukun BI Chong FENG Hongquan QU Tong ZHENG Chonglei WANG | 2017 | Photonic Sensors2017，7，3： | 4 |
| 5 | A Novel Algorithm of Water Region Detection in SAR Image Based on Bag of Visual Words and Local Pattern Histogram显示文摘Water region detection based on SAR images is a difficult problem for its computing complexity.This paper proposes a novel water region detection method in SAR image of complex scenery. The algorithm takes advantages of Bag of visual words(BOV) to precisely describe the homogeneous region in complex scenery. Local pattern histogram(LPH) and single-class Support vector machine(SVM) are adopted to determine the edge information of water region precisely. The feature extraction is calculated block by block, which reduces computing workload and interference from noise. The experiments based on SAR images of real complex scenery show that the proposed method achieves higher accuracy and robustness. | FENG Jing CHEN Liang WEI Hang BI Fukun CHEN He | 2016 | Chinese Journal of Electronics2016，25，5： | 3 |
| 6 | A Two-Level Detection Algorithm for Optical Fiber Vibration显示文摘光纤维颤动被协调光时间领域思考技术检测。除了颤动信号,反映的信号包括喧嚷和噪音,它导致高虚惊率。平均经常的虚惊率算法的房间有高计算速度,而是它的察觉表演将在象多重目标那样的 nonhomogeneous 环境被拒绝。顺序统计常数虚惊率算法在多重目标环境有一个明显的优点,但是它有更低的计算速度。一个聪明的二水平的察觉算法基于平均以连续方法,和平均经常的虚惊率和统计常数虚惊率分别地被保存的顺序的性能的房间的察觉速度工作的经常的虚惊率和目统计常数虚惊率的房间被介绍。通过适应选择,平均的房间在同类的环境被使用,并且二水平的察觉算法在 nonhomogeneous 环境被采用。我们的蒙特卡罗模拟结果证明就不同信号噪音比率而言,建议算法比顺序统计的给更好的察觉概率。 | Fukun BI Xuecong REN Hongquan QU Ruiqing JIANG | 2015 | Photonic Sensors2015，5，3： | 2 |
| 7 | Visual attention based model for target detection in large-field images显示文摘It is of great significance to rapidly detect targets in large-field remote sensing images,with limited computation resources.Employing relative achievements of visual attention in perception psychology,this paper proposes a hierarchical attention based model for target detection.Specifically,at the preattention stage,before getting salient regions,a fast computational approach is applied to build a saliency map.After that,the focus of attention(FOA) can be quickly obtained to indicate the salient objects.Then,at the attention stage,under the FOA guidance,the high-level visual features of the region of interest are extracted in parallel.Finally,at the post-attention stage,by integrating these parallel and independent visual attributes,a decision-template based classifier fusion strategy is proposed to discriminate the task-related targets from the other extracted salient objects.For comparison,experiments on ship detection are done for validating the effectiveness and feasibility of the proposed model. | Lining Gao Fukun Bi Jian Yang | 2011 | Journal of Systems Engineering and Electronics2011，22，1： | 1 |
| 8 | Recent advancement and future challenges of photothermal catalysis for VOCs elimination:From catalyst design to applications显示文摘Photothermal catalysis realizes the synergistic effect of solar energy and thermochemistry,which also has the potential to improve the reaction rate and optimize the selectivity.In this review,the research progress of photothermal catalytic removal of volatile organic compounds(VOCs)by nano-catalysts in recent years is systematically reviewed.First,the fundamentals of photothermal catalysis and the fabrication of catalysts are described,and the design strategy of optimizing photothermal catalysis performance is proposed.Second,the performance for VOC degradation with photothermal catalysis is evaluated and compared for the batch and continuous systems.Particularly,the catalytic mechanism of VOC oxidation is systematically introduced based on experimental and theoretical study.Finally,the future limitations and challenges have been discussed,and potential research directions and priorities are highlighted.A broad view of recent photothermal catalyst fabrication,applications,challenges,and prospects can be systemically provided by this review. | Yang Yang Shenghao Zhao Lifeng Cui Fukun Bi Yining Zhang Ning Liu Yuxin Wang Fudong Liu Chi He Xiaodong Zhang | 2023 | Green Energy & Environment2023，8，3： | 1 |
| 9 | Capturing and tracking of building area based on structure saliency in airborne remote sensing video显示文摘Dear editor,Object capturing and tracking in airborne remote sensing video is one of the hottest research topics,which is widely used in disaster monitoring and rescue and vehicle tracking.Because of the high realtime requirement in the above applications,the fast object capturing and stable tracking have significant and practical value. | FENG Jing BI FuKun CHEN Liang ZHANG FeiFei CHEN He | 2015 | Science China(Information Sciences)2015，58，4： | 1 |
| 10 | A novel sea-land segmentation based on integral image reconstruction in MWIR images显示文摘Dear editor,Middle wave infrared remote(MWIR)technology is the main approach in remote sensing applications,because thermal infrared can work all-time.The MWIR technology can provide valid object information in remote sensing technology than optical and synthetic aperture radar(SAR) | Yin ZHUANG Dechun GUO He CHEN Fukun BI Long MA Nouman Q.SOOMRO | 2017 | Science China(Information Sciences)2017，60，6： | 0 |
| 11 | Detecting Designated Building Areas From Remote Sensing Images Using Hierarchical Structural Constraints显示文摘Automatic detection of a designated building area(DBA)is a research hotspot in the field of target detection using remote sensing images.Target detection is urgently needed for tasks such as illegal building monitoring,dynamic land use monitoring,antiterrorism efforts,and military reconnaissance.The existing detection methods generally have low efficiency and poor detection accuracy due to the large size and complexity of remote sensing scenes.To address the problems of the current detection methods,this paper presents a DBA detection method that uses hierarchical structural constraints in remote sensing images.Our method was conducted in two main stages.(1)During keypoint generation,we proposed a screening method based on structural pattern descriptors.The local pattern feature of the initial keypoints was described by a multilevel local pattern histogram(MLPH)feature;then,we used one-class support vector machine(OC-SVM)merely to screen those building attribute keypoints.(2)To match the screened keypoints,we proposed a reliable DBA detection method based on matching the local structural similarities of the screened keypoints.We achieved precise keypoint matching by calculating the similarities of the local skeletal structures in the neighboring areas around the roughly matched keypoints to achieve DBA detection.We tested the proposed method on building area sets of different types and at different time phases.The experimental results show that the proposed method is both highly accurate and computationally efficient. | Fukun BI Mingyang LEI Zhihua YANG Jinyuan HOU Yanyan QIN | 2020 | Photonic Sensors2020，10，1： | 0 |
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