中国科学院机构知识库网格系统: 检索

Random noise attenuation by 3D Multi-directional vector median filter 期刊论文 OAI收割
JOURNAL OF APPLIED GEOPHYSICS, 2018, 卷号: 159, 页码: 277-284
作者: Wu, Shaojiang; Wang, Yibo; Di, Zhixin; Chang, Xu

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收藏 | 浏览/下载：38/0 | 提交时间：2019/03/04

Noise attenuation Median filter Seismic data Multi-directional operator

Iterative dip-steering median filter 期刊论文 OAI收割
JOURNAL OF APPLIED GEOPHYSICS, 2017, 卷号: 144, 页码: 151-156
作者: Huo, Shoudong; Zhu, Weihong; Shi, Taikun

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收藏 | 浏览/下载：29/0 | 提交时间：2017/11/24

Noise attenuation Median filter Fourier-radial transform Dominant dip

Deblending using normal moveout and median filtering in common-midpoint gathers 期刊论文 OAI收割
JOURNAL OF GEOPHYSICS AND ENGINEERING, 2014, 卷号: 11, 期号: 4
作者: Chen, Yangkang; Yuan, Jiang; Jin, Zhaoyu; Chen, Keling; Zhang, Lele

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收藏 | 浏览/下载：23/0 | 提交时间：2018/09/26

deblending simultaneous source median filter normal moveout common midpoint gather

Deblending using normal moveout and median filtering in common-midpoint gathers 期刊论文 OAI收割
JOURNAL OF GEOPHYSICS AND ENGINEERING, 2014, 卷号: 11, 期号: 4
作者: Chen, Yangkang; Yuan, Jiang; Jin, Zhaoyu; Chen, Keling; Zhang, Lele

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收藏 | 浏览/下载：25/0 | 提交时间：2018/09/26

deblending simultaneous source median filter normal moveout common midpoint gather

Deblending using normal moveout and median filtering in common-midpoint gathers 期刊论文 OAI收割
JOURNAL OF GEOPHYSICS AND ENGINEERING, 2014, 卷号: 11, 期号: 4
作者: Chen, Yangkang; Yuan, Jiang; Jin, Zhaoyu; Chen, Keling; Zhang, Lele

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收藏 | 浏览/下载：28/0 | 提交时间：2018/09/26

deblending simultaneous source median filter normal moveout common midpoint gather

A hybrid median filter for enhancing dim small point targets and its fast implementation (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Multimedia and Signal Processing, CMSP 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yang Q.

收藏 | 浏览/下载：20/0 | 提交时间：2013/03/25

Weak stars and middle altitude orbit satellites or high altitude orbit satellites are presented as dim point targets in images of astronomical observation. They have low intensity and occupy few pixels in image. In most situations the background of sky is always ununiform and there exists pulse noises. Thus results in targets submerging in background noises and low signal noise ratio (SNR). Median filter is an effective method for removing pulse noise. But it can blur image after modifying gray of non-noise pixels when image has low SNR. A hybrid median filter algorithm is proposed to process low SNR dim point targets image. The newly proposed method can suppress the pulse noises also can increase target $SNR$ and does not add extra fake targets. The time complexity of median filter is O(N2)(N is the widow size) and is difficult to implement in hardware. For quasi real time application a fast implementation of our hybrid median filter is proposed to reduce the time complexity to O(N). Experimental results show that the newly proposed algorithm is superior to ordinary median filter and fast median filter by comparing visual effect and performance. 2011 IEEE.

Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Dong Y.-X.; Zhang H.-B.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：108/0 | 提交时间：2013/03/25

Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms such as adaptive background prediction detecting method. When background has dispersion-decreasing structure the traditional target detection algorithms would be more useful. But when the background has large gray gradient such as sea-sky-line sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature in our opinion from the perspective of mathematics the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore the purpose of the image preprocessing is to reduce the effects from noise also to raise the SNR of image and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics the median filter is used to eliminate noise improve signal-to-noise ratio then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Sort optimization algorithm of median filtering based on FPGA (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Machine Vision and Human-Machine Interface, MVHI 2010, April 24, 2010 - April 25, 2010, Kaifeng, China
作者: Li S.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

The traditional sorting algorithm of median filtering is optimized according to the hardware structure features of FPGA. FPGA is used to acquire the data parallelly for comparing the data of the same column in the median filtering window. Comparing results shared by adjacent filter window are saved temporarily to match the new round of median filtering by using FPGA internal resources. This method can reduce the comparing times from current 21 down to 13 and improve the algorithm efficiency nearly 40%.The experimental results prove that the optimized algorithm can filter a 1K1K gray-level image in about 20ms which ensure the proposed algorithm can be applied in the real-time image median filtering system. 2010 IEEE.

Extracting sea-sky-line based on improved local complexity (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者: Zhang Y.-F.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds which is robust and can improve noise immunity of the algorithm. 2010 IEEE.

Design of real-time small target detection system for infrared image based on FPGA (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Optics, Photonics and Energy Engineering, OPEE 2010, May 10, 2010 - May 11, 2010, Wuhan, China
作者: Liu J.; Sun Q.; Wang J.; Ye X.; Xu H.

收藏 | 浏览/下载：24/0 | 提交时间：2013/03/25

A simple detection measurement is developed for realtime small target detection in infrared background which can be easily available on FPGA. Basing on the difference between target and background a predictive background is generated via restraining the infrared background with median filter and then global threshold segmentation is used to residual image for further processing. Taking advantage of the relationship of targets in frames a comprehensive analysis of residual image is made and then the precise position of target is got by removing pseudo-objectives. Experiment results show that the method is simple to apply to hardware system improve the system's false alarm rate and meet the requirements of practical engineering. 2010 IEEE.