Prof. Feng Wu Profile

Prof. Feng Wu

at Changzhou Institute of Technology

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 10 October 2020 Presentation + Paper

Human-computer interactive system development for cloud removal from single images

Feng Wu, Xifang Zhu, Ruxi Xiang, Qingquan Xu, Yang Xu, Qingcheng Sun

Proceedings Volume 11552, 115520U (2020) https://doi.org/10.1117/12.2573654

KEYWORDS: Clouds, Remote sensing, Human-computer interaction, Algorithm development, Human-machine interfaces, Image resolution, Wavelet transforms, Cameras, Video, Image acquisition

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Remote sensing imaging is disturbed by clouds frequently and produces images with low contrast and poor resolution. Algorithms removing clouds from single remote sensing images are expected to improve their qualities and aroused worldwide interests. Compared with multi-image methods, cloud removal algorithms from single images reduce the demands for weather and improve the image collecting flexibility. In this paper, a human-computer interactive system for cloud removal from single images was developed according to the proposed cloud removal algorithm. Firstly, the distributions of clouds and sceneries in the contaminated remote sensing images were discussed. Features of the dual tree complex wavelet transform (DTCWT) to split image frequencies were investigated after the principle of DTCWT was analyzed. By combining the frequency features of DTCWT sub-bands and the frequency distributions of the remote sensing images, the cloud removal algorithm based on DTCWT was proposed, and its procedures were described completed. Then, a human-computer interactive system for cloud removal was developed in order to improve the cloud removal processing conveniences and achieve the best performance. The development schemes were introduced. The system structures were illustrated. The design methods of the camera driver and video signal output program were described. Communication streams between modules and human-computer interaction interfaces were designed further according to the cloud removal algorithm based on DTCWT. The system has a very good flexibility which permits the input of most parameters from users and is expect to achieve a best performance. Finally, the device of the system was completed and tested. Image acquisition and cloud removal processing experiments were implemented by applying the human-computer interactive system. Cloud removal effects by adjusting parameters through the human-computer interaction interfaces were compared and evaluated. It proved that the designed system has a pleasant human-computer interaction ability and satisfactory cloud removal performance.

Proceedings Article | 12 November 2019 Paper

Image fusion with guided saliency

Ruxi Xiang, Xifang Zhu, Feng Wu, Qingquan Xu

Proceedings Volume 11197, 111970Z (2019) https://doi.org/10.1117/12.2542788

KEYWORDS: Image fusion

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Proceedings Article | 12 November 2019 Paper

Autonomous steel casting recognition and positioning on the unmanned automatic production line based on binocular vision

Qingquan Xu, Feng Wu, Ruxi Xiang, Jie Zhou, Xiu Yang

Proceedings Volume 11197, 111970U (2019) https://doi.org/10.1117/12.2542688

KEYWORDS: Image segmentation, Detection and tracking algorithms, Cameras, Neural networks, Image processing, Algorithms, Machine learning, Imaging systems, Evolutionary algorithms, Electrical engineering

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Proceedings Article | 12 November 2019 Paper

Study on guide star selection for infrared star sensors

Feng Wu, Ruxi Xiang, Qingquan Xu, Jie Zhou, Xiu Yang

Proceedings Volume 11197, 111970L (2019) https://doi.org/10.1117/12.2542602

KEYWORDS: Stars, Star sensors, Infrared radiation, Infrared sensors, Atmospheric sensing, Signal attenuation, Visible radiation, Infrared cameras

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Proceedings Article | 5 November 2018 Paper

Optical design for three sub-mirror sparse aperture with freeform surface

Quanying Wu, Junliu Fan, Feng Wu, Daling Cai, Baohua Chen

Proceedings Volume 10815, 108150E (2018) https://doi.org/10.1117/12.2500670

KEYWORDS: Telescopes, Mirrors, Optical design, Image quality, Modulation transfer functions, Spherical lenses, Image analysis, Aspheric lenses, Zernike polynomials, Optics manufacturing

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SPIE Journal Paper | 28 June 2017

Guided filter based on multikernel fusion

Ruxi Xiang, Xifang Zhu, Feng Wu, Xiaoyan Jiang, Qingquan Xu

JEI, Vol. 26, Issue 03, 033027, (June 2017) https://doi.org/10.1117/12.10.1117/1.JEI.26.3.033027

KEYWORDS: Image filtering, Linear filtering, Image fusion, Image quality, Image enhancement, Visualization, Air contamination, Denoising

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Proceedings Article | 31 December 2013 Paper

Study on method of simulating Golay3 MMT by external programming

Xifang Zhu, Feng Wu, Quanying Wu, Lin Qian

Proceedings Volume 9042, 90420X (2013) https://doi.org/10.1117/12.2035372

KEYWORDS: Mirrors, Device simulation, Space telescopes, Modulation transfer functions, Computer programming, Zemax, Spherical lenses, Telescopes, James Webb Space Telescope, Point spread functions

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Proceedings Article | 20 December 2013 Paper

Design and application of star map simulation system for star sensors

Feng Wu, Weimin Shen, Xifang Zhu, Yuheng Chen, Qinquan Xu

Proceedings Volume 9044, 90440R (2013) https://doi.org/10.1117/12.2035465

KEYWORDS: Stars, Star sensors, Zemax, Optical design, Monte Carlo methods, Computer simulations, Algorithm development, Computer programming, Calibration, Ray tracing

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Proceedings Article | 30 November 2012 Paper

A fast star image extraction algorithm for autonomous star sensors

Xifang Zhu, Feng Wu, Qingquan Xu

Proceedings Volume 8558, 855821 (2012) https://doi.org/10.1117/12.999641

KEYWORDS: Stars, Feature extraction, Detection and tracking algorithms, Image sensors, Sensors, Star sensors, Image processing, Cameras, Time metrology, Space operations

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Star sensors have been developed to acquire accurate orientation information in recent decades superior to other attitude measuring instruments. A star camera takes photos of the night sky to obtain star maps. An important step to acquire attitude knowledge is to compare the features of the observed stars in the maps with those of the cataloged stars using star identification algorithms. To calculate centroids of the star images before this step, they are required to be extracted from the star maps in advance. However, some large or ultra large imaging detectors are applied to acquire star maps for star sensors with the development of electronic imaging devices. Therefore, star image extraction occupies more and more portions of the whole attitude measurement period of time. It is required to shorten star image extraction time in order to achieve higher response rate. In this paper, a novel star image extraction algorithm is proposed which fulfill the tasks efficiently. By scanning star map, the pixels brighter than the gray threshold are found and their coordinates and brightness are stored in a cross-linked list. Data of these pixels are linked by pointers, while other pixels are neglected. Therefore, region growing algorithm can be used by choosing the first element in the list as a starting seed. New seeds are founded if the neighboring pixels are brighter than the threshold, and the last seed is deleted from the list. Next search continues until no neighboring pixels are in the list. At that time, one star image is extracted, and its centroid is calculated. Likely, other star images may be extracted, and then the examined seeds are deleted which are never considered again. A new star image search always begins from the first element for avoiding unnecessary scanning. The experiments have proved that for a 1024×1024 star map, the image extraction takes nearly 16 milliseconds. When CMOS APS is utilized to transfer image data, the real-time extraction can be almost achieved.

Proceedings Article | 6 November 2010 Paper

Conceptual design of airborne daytime infrared star cameras

Yuying Zhou, Weimin Shen, Feng Wu, Yuheng Chen

Proceedings Volume 7849, 78490V (2010) https://doi.org/10.1117/12.870607

KEYWORDS: Stars, Cameras, Infrared cameras, Infrared radiation, Atmospheric modeling, Staring arrays, Light scattering, Visible radiation, Atmospheric particles, Aerosols

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Proceedings Article | 26 November 2009 Paper

Design of optical system for autonomous APS star sensors

Feng Wu, Weimin Shen

Proceedings Volume 7506, 75060F (2009) https://doi.org/10.1117/12.837220

KEYWORDS: Stars, Monochromatic aberrations, Cameras, Optical design, Star sensors, Sensors, Distortion, Detection and tracking algorithms, Aberration correction, Space operations

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Proceedings Article | 28 January 2009 Paper

Design and simulation of a novel APS star tracker

Feng Wu, Weimin Shen, Jiankang Zhou, Xinhua Chen

Proceedings Volume 7156, 71561S (2009) https://doi.org/10.1117/12.806698

KEYWORDS: Stars, Detection and tracking algorithms, Optical design, Cameras, Sensors, Optical tracking, Monochromatic aberrations, Space operations, Aberration correction, Computer simulations

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Proceedings Article | 28 January 2009 Paper

A new method of remote sensing image recovery based on WWC

Xifang Zhu, Feng Wu, ChunKan Tao

Proceedings Volume 7156, 71561P (2009) https://doi.org/10.1117/12.806585

KEYWORDS: Clouds, Fiber optic gyroscopes, Wavelets, Remote sensing, Image restoration, Linear filtering, Wavelet transforms, Image processing, Digital imaging, Image filtering

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Proceedings Article | 27 January 2009 Paper

Characteristic analysis of Golay 6 multiple-mirror telescope

Quanying Wu, Feng Wu, Lin Qian

Proceedings Volume 7156, 71560H (2009) https://doi.org/10.1117/12.806528

KEYWORDS: Mirrors, Telescopes, Spherical lenses, Optical instrument design, Space telescopes, Modulation transfer functions, Zemax, Point spread functions, Photovoltaics, Dubnium

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Proceedings Article | 12 March 2008 Paper

Golay3 sparse aperture systems designed on a spherical surface

Feng Wu, Quanying Wu, Lin Qian

Proceedings Volume 6624, 66240R (2008) https://doi.org/10.1117/12.791088

KEYWORDS: Mirrors, Modulation transfer functions, Telescopes, Space telescopes, Spherical lenses, Optical instrument design, Imaging systems, Zemax, Image quality, Image restoration

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High resolution imaging from space telescope for surveillance and astrometry is currently limited by launch vehicles and systems cost. The weight of the telescope is one of major factors which limits the vehicles to be placed in orbit. Sparse aperture optical system uses a reduced aperture area to synthesize the optical performance of a filled aperture. It is more promising in virtue of its light weight, low cost and larger synthetic aperture. The sparse aperture optical system has two types, i.e. the multiple-mirror telescope (MMT) and the multiple-telescope telescope (MTT). A MMT of Golay3 sparse aperture optical system is investigated that three sub-mirrors are located on a spherical primary mirror. Three sub apertures of Golay3 are elliptic that in fact the circular sub-mirrors of spherical primary mirror are projected on the entrance pupil. The relationships between fill factor, radius of sub-mirrors and F number of the primary mirror are presented. The analytical formula is also completed, which shows that the maximum fill factor is limited by F number of the primary mirror. When the aperture radius is equal to curvature radius of the primary mirror approximately, the shape of sub-apertures exhibits to be elliptic obviously. The maximum fill factor reaches the largest one at that time. Modulation Transfer Function (MTF) of Golay3 system is studied. MTF is the correlation of three elliptic sub-apertures. The sub-MTFs are different from those of sub-mirrors located on a plane. The formula is verified by designing two Cassegrain telescopes which primary mirror is made up of three sub-mirrors of Golay3 configuration with Zemax optical program. Three sub-mirrors of primary mirror share a common asphercial secondary mirror. The errors caused by tilt and piston of three sub-apertures are also given out. Because of the loss of MTF for the sparse aperture optical system, the image quality is decreased. Wiener filter technique is utilized to improve the image quality for the sparse aperture system.

Proceedings Article | 19 February 2008 Paper

An improved approach to remove cloud and mist from remote sensing images based on the Mallat algorithm

Xifang Zhou, Feng Wu

Proceedings Volume 6625, 662510 (2008) https://doi.org/10.1117/12.791023

KEYWORDS: Clouds, Wavelets, Image processing, Remote sensing, Image filtering, Image fusion, Linear filtering, Curium, Image resolution, Electronics engineering

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Showing 5 of 16 publications

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