Dr. Kan Ren Profile

Dr. Kan Ren

Lecturer at Nanjing Univ of Science and Technology

SPIE Involvement:

Author

Publications (21)

SPIE Journal Paper | 17 December 2024

Two-stage unmanned aerial vehicle localization method based on multi-category semantic segmentation and template matching

Hu Jin, Kan Ren, Qian Chen

JARS, Vol. 19, Issue 01, 014503, (December 2024) https://doi.org/10.1117/12.10.1117/1.JRS.19.014503

KEYWORDS: Unmanned aerial vehicles, Image segmentation, Semantics, Remote sensing, Roads, Satellites, Education and training, Sensors, Feature extraction, Buildings

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Proceedings Article | 4 April 2023 Paper

Accurate measurement, decomposition, and depolarization calculation for Mueller Matrices of mixed samples

Hongzhe Li, Zhimin Zhao, Delong Meng, Lin Li, Dongliang Zheng, Weixian Qian, Kan Ren, Chao Zuo

Proceedings Volume 12617, 126177B (2023) https://doi.org/10.1117/12.2666819

KEYWORDS: Depolarization, Mueller matrices, Superposition, Scattering, Polarization, Matrices, Polarimetry, Multiple scattering, Reflection, Mixtures

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Proceedings Article | 20 January 2023 Paper

An optimized feature extraction algorithm based on SuperPoint

Xiaobei Bian, Zhen He, Ziqing Gong, Kan Ren

Proceedings Volume 12563, 1256306 (2023) https://doi.org/10.1117/12.2651943

KEYWORDS: Convolution, Remote sensing, Feature extraction, Network architectures, Detection and tracking algorithms, Machine vision, Computer vision technology, Computer programming, Space operations

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Proceedings Article | 20 January 2023 Paper

Research on infrared small target segmentation algorithm

Zhuo Chen, Xiaobei Bian, Kan Ren, Minjie Wan

Proceedings Volume 12563, 1256305 (2023) https://doi.org/10.1117/12.2651908

KEYWORDS: Image segmentation, Detection and tracking algorithms, Target detection, Infrared imaging, Image processing algorithms and systems

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SPIE Journal Paper | 10 December 2021

Robust object tracking using sparse color appearance model

WenGuang Yang, Zijuan Luo, Kan Ren, Minjie Wan, Ye Qian, Yunkai Xu, Weixian Qian

JEI, Vol. 30, Issue 06, 063019, (December 2021) https://doi.org/10.1117/12.10.1117/1.JEI.30.6.063019

KEYWORDS: Detection and tracking algorithms, Particles, Adaptive optics, Particle filters, RGB color model, Statistical modeling, Optical tracking, Data modeling, Motion models, Feature extraction

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Proceedings Article | 24 November 2021 Paper

Infrared unmanned aerial vehicle detection based on generative adversarial network data augmentation

Yuan Gao, Zijuan Luo, Xuelian Yu, Kan Ren, Yunfei Ye, Qian Chen

Proceedings Volume 12061, 120610Y (2021) https://doi.org/10.1117/12.2605456

KEYWORDS: Target detection, Unmanned aerial vehicles, Gallium nitride, Sensors, Infrared radiation, Infrared detectors, Infrared imaging, Machine vision, Computer vision technology, Infrared sensors

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Proceedings Article | 24 November 2021 Paper

Mismatches removal in unmanned aerial vehicle image registration using density based method

Yunfei Ye, Zijuan Luo, Xuelian Yu, Kan Ren, Yuan Gao, Qian Chen

Proceedings Volume 12061, 120610P (2021) https://doi.org/10.1117/12.2604182

KEYWORDS: Unmanned aerial vehicles, Image registration, Distortion, Data modeling, Remote sensing, Motion models, Image processing

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Proceedings Article | 24 November 2021 Paper

Retinal vessel segmentation method based on improved U-NET network

Longdan Chang, Kan Ren, Minjie Wan, Qian Chen

Proceedings Volume 12069, 120690N (2021) https://doi.org/10.1117/12.2606366

KEYWORDS: Image segmentation, Feature extraction, Machine learning, Image processing, Data modeling, Photography, Mathematical modeling, Image processing algorithms and systems, Evolutionary algorithms, Imaging systems

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Proceedings Article | 28 February 2021 Paper

Research on target scattering characteristics based on Mueller matrix

Jing Zhou, Kan Ren, Dawei Zhang, Guohua Gu, Qian Chen

Proceedings Volume 11781, 117811H (2021) https://doi.org/10.1117/12.2591322

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Proceedings Article | 28 February 2021 Paper

An infrared and visible image fusion method based on deep learning

Dawei Zhang, Kan Ren, Jing Zhou, Guohua Gu, Qian Chen

Proceedings Volume 11781, 1178109 (2021) https://doi.org/10.1117/12.2591303

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SPIE Journal Paper | 28 January 2019

Self-adaptive method for performance enhancement of sweep-velocity-locked lasers

Zheyi Yao, Gerald Hefferman, Kan Ren, Tao Wei

OE, Vol. 58, Issue 01, 016112, (January 2019) https://doi.org/10.1117/12.10.1117/1.OE.58.1.016112

KEYWORDS: Control systems, Laser sources, Field programmable gate arrays, Semiconductor lasers, Clocks, Signal generators, Laser applications, LIDAR, Fiber optics sensors, Signal detection

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Proceedings Article | 15 November 2018 Paper

A fine-grained recognition model of air targets based on bilayer faster R-CNN with feedback

Jiajia Wang, Kan Ren, Weixian Qian, Guohua Gu, Qian Chen

Proceedings Volume 10964, 1096439 (2018) https://doi.org/10.1117/12.2505925

KEYWORDS: Data modeling, Target recognition, Target detection, Fuzzy logic, Convolution, Neural networks, Software development, Networks

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Proceedings Article | 15 November 2018 Paper

Infrared small target detection using phase spectrum of quaternion fourier transform

Yuyao Zhu, Kan Ren, Minjie Wan, Weixian Qian, Guohua Gu, Qian Chen

Proceedings Volume 10964, 109642N (2018) https://doi.org/10.1117/12.2505846

KEYWORDS: Target detection, Fourier transforms, Infrared imaging, Image enhancement, Signal to noise ratio, Image processing

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SPIE Journal Paper | 25 June 2018

Dual-correlation transformation for image stitching

Jiajie Wang, Guohua Gu, Minjie Wan, Kan Ren

JEI, Vol. 27, Issue 03, 033040, (June 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.3.033040

KEYWORDS: Cameras, Matrices, Imaging systems, Image processing, 3D modeling, Machine vision, Computing systems, Computer vision technology, Affine motion model, Motion models

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Proceedings Article | 10 April 2018 Presentation + Paper

Real-time signal processing for sub-THz range grating-based distributed fiber sensing

Zheyi Yao, Gerald Hefferman, Kan Ren, Tao Wei

Proceedings Volume 10598, 105983E (2018) https://doi.org/10.1117/12.2295612

KEYWORDS: Sensors, Signal processing, Field programmable gate arrays, Computer architecture, Clocks, Reflectors, Fiber optics sensors, Filtering (signal processing), Bandpass filters, Spatial resolution

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SPIE Journal Paper | 10 March 2017

Salient motion detection using proximal robust principal component analysis method

Pengcheng Wang, Qian Chen, Weixian Qian, Kan Ren, Zheyi Yao, Fuyuan Xu

JEI, Vol. 26, Issue 02, 023004, (March 2017) https://doi.org/10.1117/12.10.1117/1.JEI.26.2.023004

KEYWORDS: Motion detection, Principal component analysis, Image segmentation, Bromine, Motion models, Video, Machine vision, Signal to noise ratio, Detection and tracking algorithms, Computer vision technology

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Proceedings Article | 10 February 2017 Paper

A finite adaptive neighborhood suppression algorithm based on singular value decomposition

Weijie Wang, Kan Ren, Guohua Gu, Qian Chen

Proceedings Volume 10250, 102500L (2017) https://doi.org/10.1117/12.2266702

KEYWORDS: Detection and tracking algorithms

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Proceedings Article | 1 November 2016 Paper

Infrared moving small target detection based on saliency extraction and image sparse representation

Xiaomin Zhang, Kan Ren, Jin Gao, Chaowei Li, Guohua Gu, Minjie Wan

Proceedings Volume 10157, 1015734 (2016) https://doi.org/10.1117/12.2247309

KEYWORDS: Infrared detectors, Infrared imaging, Infrared radiation, Target detection, Feature extraction

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Proceedings Article | 8 October 2015 Paper

Neural cell image segmentation method based on support vector machine

Shiwei Niu, Kan Ren

Proceedings Volume 9675, 967537 (2015) https://doi.org/10.1117/12.2205114

KEYWORDS: Image segmentation, Image processing, Detection and tracking algorithms, Feature extraction, Nerve, Image processing algorithms and systems, Statistical modeling, Image filtering, Binary data, Signal processing

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Proceedings Article | 8 October 2015 Paper

Constant false alarm rate algorithm for the dim-small target detection based on the distribution characteristics of target coordinates

Xiao-Liang Fei, Kan Ren, Wei-xian Qian, Peng-cheng Wang

Proceedings Volume 9675, 96750R (2015) https://doi.org/10.1117/12.2197891

KEYWORDS: Linear filtering, Target detection, Detection and tracking algorithms, Image segmentation, Infrared radiation, Infrared imaging, Infrared detectors, Infrared technology, Image processing algorithms and systems, Infrared search and track

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CFAR (Constant False Alarm Rate) is a key technology in Infrared dim-small target detection system. Because the traditional constant false alarm rate detection algorithm gets the probability density distribution which is based on the pixel information of each area in the whole image and calculates the target segmentation threshold of each area by formula of Constant false alarm rate, the problems including the difficulty of probability distribution statistics and large amount of algorithm calculation and long delay time are existing. In order to solve the above problems effectively, a formula of Constant false alarm rate based on target coordinates distribution is presented. Firstly, this paper proposes a new formula of Constant false alarm rate by improving the traditional formula of Constant false alarm rate based on the single grayscale distribution which objective statistical distribution features are introduced. So the control of false alarm according to the target distribution information is implemented more accurately and the problem of high false alarm that is caused of the complex background in local area as the cloud reflection and the ground clutter interference is solved. At the same time, in order to reduce the amount of algorithm calculation and improve the real-time characteristics of algorithm, this paper divides the constant false-alarm statistical area through two-dimensional probability density distribution of target number adaptively which is different from the general identifying methods of constant false-alarm statistical area. Finally, the target segmentation threshold of next frame is calculated by iteration based on the function of target distribution probability density in image sequence which can achieve the purpose of controlling the false alarm until the false alarm is down to the upper limit. The experiment results show that the proposed method can significantly improve the operation time and meet the real-time requirements on condition of keeping the target detection performance.

Proceedings Article | 21 August 2013 Paper

Design and implementation of an intelligent passenger counting system based on the Kinect sensor

Chao Dong, Dongming Lu, Ren Kan, Zhang-qin Yin

Proceedings Volume 8908, 89080V (2013) https://doi.org/10.1117/12.2032864

KEYWORDS: Head, Image processing, Sensors, Image segmentation, Detection and tracking algorithms, 3D image processing, Cameras, Infrared cameras, Image enhancement, Image sensors

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Showing 5 of 21 publications

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