中国科学院机构知识库网格系统: 检索

ImFusion: Boosting Two-Stage 3D Object Detection via Image Candidates 期刊论文 OAI收割
IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 241-245
作者: Tao, Manli; Zhao, Chaoyang; Wang, Jinqiao; Tang, Ming

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收藏 | 浏览/下载：26/0 | 提交时间：2024/03/26

Three-dimensional displays Proposals Object detection Feature extraction Point cloud compression Aggregates Sun 3D object detection image candidates pseudo 3D proposal target missing

Research on data association and detection algorithm in point target tracking 会议论文 OAI收割
Beijing, China, 2023-07-25
作者: He, Xiaokun; Li, Peng; Liu, Wen

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收藏 | 浏览/下载：9/0 | 提交时间：2024/02/07

Point target Multi-feature fusion Data association Point target detection

Moving Point Target Detection Based on Higher Order Statistics in Very Low SNR 期刊论文 OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 卷号: 15, 期号: 2, 页码: 217-221
作者: Niu, Wenlong; Zheng, Wei; Yang, Zhen; Wu, Yong; Vagvolgyi, Balazs

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收藏 | 浏览/下载：46/0 | 提交时间：2018/03/02

Bispectrum Estimation Moving Point Target Detection Time Series Transient Signal Detection Visual Image Sequence

A WEAK MOVING POINT TARGET DETECTION METHOD BASED ON HIGH FRAME RATE IMAGE SEQUENCES 会议论文 OAI收割
Valencia, SPAIN, JUL 22-27, 2018
作者: Wu, Yong; Yang, Zheng; Niu, Wenlong; Zheng, Wei

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收藏 | 浏览/下载：32/0 | 提交时间：2019/01/31

kernel high frame rate wavelet packet moving point target signal detection

HIGH FRAME-RATE BASED MOVING POINT TARGET DETECTION 会议论文 OAI收割
Valencia, SPAIN, JUL 22-27, 2018
作者: Niu, Wenlong; Wu, Yong; Zheng, Wei; Yang, Zhen; Vagvolgyi, Balazs

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收藏 | 浏览/下载：29/0 | 提交时间：2019/01/31

Moving point target detection framework time series target detector high frame-rate

A directional-progressive search method for infrared small target detection 会议论文 OAI收割
Shenzhen, China, September 4-7, 2018
作者: Ding QH(丁庆海); Chang Z(常铮); Hui B(惠斌); Luo HB(罗海波); Zhang XY(张祥越)

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收藏 | 浏览/下载：31/0 | 提交时间：2018/12/24

infrared image target detection zero-crossing point facet model

An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model 期刊论文 OAI收割
Remote Sensing, 2018, 卷号: 10, 期号: 7, 页码: 26
作者: Liu, R.; Wang, D. J.; Jia, P.; Sun, H.

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收藏 | 浏览/下载：25/0 | 提交时间：2019/09/17

point target detection dual-band model optimal fused probability of detection omnidirectional morphological filtering local difference criterion top-hat transform 2d images algorithm enhancement features filter track Remote Sensing

Infrared small target detection based on directional zero-crossing measure 期刊论文 OAI收割
Infrared Physics and Technology, 2017, 卷号: 87, 页码: 113-123
作者: Hui B(惠斌); Zhang JC(张俊超); Ding QH(丁庆海); Luo HB(罗海波); Chang Z(常铮)

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收藏 | 浏览/下载：25/0 | 提交时间：2017/12/02

Infrared image Small target detection Facet model Zero-crossing point FODD filter

Discovering Diverse Subset for Unsupervised Hyperspectral Band Selection 期刊论文 OAI收割
ieee transactions on image processing, 2017, 卷号: 26, 期号: 1, 页码: 51-64
作者: Yuan, Yuan; Zheng, Xiangtao; Lu, Xiaoqiang

收藏 | 浏览/下载：38/0 | 提交时间：2017/07/06

Hyperspectral band selection multiple graphs determinantal point process hyperspectral image classification anomaly detection target detection

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：111/0 | 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).