Ganggang Dong

I graduat from National University of Defense Technology in Dec., 2016, and join Xidian University in Sep., 2018. My research interests include but are not limited to 1) the application of compressed sensing and sparse representation, 2) SAR image interpretation, e.g., target recognition, image segmentation, terrain classification, 3) machine learning, 4) pattern recognition.

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Recent News!!!

Three positions for Master Students are open to work on Intelligent Interpretation of Remote Sensing Images.

I was awarded as the 2018 Outstanding PhD Thesis of Army in April, 2019.

>>>> I was received the 2019 Huashan Moutain Scholar Elite Support Plan of Xidian University in January, 2019.

>>>> I decide to join Xidan University in September, 2018.

>>>> I was received the 2017 Outstanding PhD Dissertation Award of the Chinese Institute of Electronics (CIE) in December, 2017.

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>>>> The manuscript entitled "Global Receptive-Based Neural Network for Target Recognition in SAR Images" has been accepted for publication in the IEEE Transactions on Cybernetics in 26th, November, 2019.

>>>> The manuscript entitled "Target Recognition in SAR Images via Sparse Representation in the Frequency Domain" has been accepted for publication in the Pattern Recognition in 1st, December, 2019.

>>>> Congratulate Xiangli Huang. The manuscript "Refocusing Moving Ship Target in SAR Images based on Fast Minimum Entropy Phase Compensation" has been accepted for publication in MDPI Sensors, 4th, March, 2019.

>>>> Congratulate Dr. Xiaoqiang Zhang. The manuscript "Ship segmentation in SAR images by Improved Nonlocal Active Contour Model" has been accepted for publication in MDPI Sensors, 28th, November, 2018.

>>>> Congratulate Dr. Meiting Yu. The manuscript entitled "Target recognition in SAR Image based on Robust Locality Discriminant Projection" has been accepted for publication in IET Radar Sonar and Navigation.

>>>> The manuscript entitled "A Review of AutoEncoder and Its Variants: A Comparative Perspective from Target Recognition in SAR Images" has been accepted for publication in the IEEE Geoscience and Remote Sensing Magazine in 15th, April, 2018.

Education

[Ph.D.] 2013.01 - 2016.12, National University of Defense Technology, Changsha, Hunan. Information and Communication Engineering.

[M.Sc.] 2010.08 ~ 2012.12, National University of Defense Technology, Changsha, Hunan. Information and Communication Engineering.

[B.Sc.] 2000.09 ~ 2004.06, Academy of Artillery, Hefei, Anhui. Unmanned Aerial Vehicle Application Engineering.

Work Experience

2004.07 ~ 2010.08 I was working in Gansu Province.

2018.11 ~ National Lab of Radar Signal Processing, Xidian University.

Publications


h-index (11), i10-index (11)

[2019]

[31] >> Ganggang Dong, Hongwei Liu, Global Receptive based Neural Network for Target Recognition in SAR Images , IEEE Transactions on Cybernetics , Early Access [Details]

[30] >> Ganggang Dong, Hongwei Liu, Gangyao Kuang, Jocelyn Chanussot, Target Recognition in SAR Images via Sparse Representation in the Frequency Domain , Pattern Recognition , 2019, 96, 106972 [Details]

[29] >> Ganggang Dong, Hongwei Liu, Bo Jiu, Jibin Zheng, Junkun Yan, Target Recognition in Sar Image via Sparse Representation in Transformed Domain, IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, 28 July-2 Aug. 2019, Yokohama, Japan, Japan, DOI: 10.1109/IGARSS.2019.8898793. [Details]

[28] >> Xiangli Huang, Kefeng Ji, Xiangguang Leng, Ganggang Dong, Xiangwei Xing, Refocusing Moving Ship Target in SAR Images based on Fast Minimum Entropy Phase Compensation, MDPI Sensors, 2019, 19(5): 1154, March.

[2018]

[27] >> Xiaoqiang Zhang*, Boli Xiong, Ganggang Dong and Gangyao Kuang, Ship Segmentation in SAR Images by Improved Nonlocal Active Contour Model, MDPI Sensors, 2018, 18(12), 4220, December

[26] >> Meiting Yu*, Siqian Zhang, Ganggang Dong, Linjun Zhao, Gangyao Kuang, Target recognition in SAR image based on robust locality discriminant projection, IET Radar, Sonar & Navigation, 2018, 12(11): 1285-1293, November. [Details].

[25] >> Ganggang Dong*, Review of AutoEncoder and Its Variants: A Comparative Perspective from Target Recognition in SAR Images. IEEE Geoscience and Remote Sensing Magazine, 2018, 6(3):44-68, September.

[24] >> Ganggang Dong*, Na Wang, Gangyao Kuang, Hongbing Qiu. Sparsity and Low-Rank Dictionary Learning for Sparse Representation of Monogenic Signal. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(1):141-153, January.
More: [-PDF-]   [-Draft-]   [-Code-]   [-Bibtex-] [-RIS-]

[23] >> Siqian Zhang*, Ganggang Dong, Gangyao Kuang. Matrix Completion for Downward-Looking 3-D SAR Imaging With a Random Sparse Linear Array. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4): 1994-2006, April.   { More Detail }

[22] >> Meiting Yu*, Ganggang Dong, Haiyan Fan, Gangyao Kuang. SAR Target Recognition via Local Sparse Representation of Multi-manifold Regularized Low-rank Approximation. Remote Sensing, 2018, 10(2).   { More Detail }

[21] >> Dongdong Guan, Deliang Xiang, Ganggang Dong, Tao Tang*, Xiaoan Tang, Gangyao Kuang. SAR Image Classification by Exploiting Adaptive Contextual Information and Composite Kernels, IEEE Geoscience and Remote Sensing Letters, 2018, 15(7): 1035-1039, July.

[2017]

[20] >> Ganggang Dong*, Gangyao Kuang, Na Wang, Wei Wang. Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image. IEEE Transactions on Image Processing, 2017, 26(6): 2892-2904, June.  
More: [-PDF-]   [-Draft-]   [-Code-]   [-Bibtex-]   [-RIS-]

[19] >> Xiaoqiang Zhang*, Ganggang Dong, Boli Xiong, Gangyao Kuang. Refined Segmentation of Ship Target in SAR Images based on GVF Snake with Elliptical Constraint. Remote Sensing Letters, 2017, 8(8): 791-800.   { More Detail }

[2016]

[18] >> Ganggang Dong*, Gangyao Kuang. SAR Target Recognition Via Sparse Representation of Monogenic Signal on Grassmann Manifolds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(3): 1308-1319, March.  
More: [-PDF-]   [-Draft-]   [-Code-]   [-Bibtex-]   [-RIS-]

[17] >> Ganggang Dong*, Gangyao Kuang. A Soft Decision Rule for Sparse Signal Modeling via Dempster-Shafer Evidential Reasoning. IEEE Geoscience and Remote Sensing Letters, 2016, 13(10): 1567-1571, October.
More: [-PDF-]   [-Draft-]   [-Code-]   [-Bibtex-] [-RIS-]

[16] >> Ganggang Dong, Gangyao Kuang. Study on Target Recognition in SAR Images via the Monogenic Signal. the dissertation to apply the doctoral degree, National University of Defense Technology, 2016, December. ([PDF In Chinese]. Please contact me if you are interested in the dissertation.)
More: the 2017 Outstanding Doctoral Dissertation Award of Chinese Institute of Electronic, the 2016 Outstanding Doctoral Dissertation Award of National University of Defense Technology (nomination, nominated from the information department).

[15] >> Siqian Zhang*, Ganggang Dong, Gangyao Kuang. Super-Resolution Downward-Looking Linear Array Three-Dimensional SAR Imaging Based on Two-Dimensional Compressive Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(6): 2184-2196, June.   { More Detail }

[2015]

[14] >> Ganggang Dong*, Gangyao Kuang. Classification on the Monogenic Scale-Space: Application to Target Recognition in SAR Image. IEEE Transaction on Image Processing, 2015, 24(8): 2527-2539, August.
More: [-PDF-]   [-Draft-]   [-Code-]   [-Bibtex-] [-RIS-]

[13] >> Ganggang Dong*, Gangyao Kuang, Linjun Zhao, Jun Lu. SAR Target Recognition via Joint Sparse Representation of Monogenic Signal. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 3316-3328, July.
More: [-PDF-]   [-Draft-]   [-Code-]   [-Bibtex-] [-RIS-]

[12] >> Ganggang Dong*, Gangyao Kuang. Target Recognition in SAR Images via Classification on Riemannian Manifolds. IEEE Geoscience and Remote Sensing Letters, 2015, 12(1):199-203, January.  
More: [-PDF-]   [-Draft-]   [-Code-]   [-Bibtex-]   [-RIS-]

[11] >> Ganggang Dong*, Gangyao Kuang. Target Recognition via Information Aggregation Through Dempster-Shafer’s Evidence Theory. IEEE Geoscience and Remote Sensing Letters, 2015, 12(6):1247-1251, June.  
More: [-PDF-]   [-Draft-]   [-Code-]   [-Bibtex-]   [-RIS-]

[10] >> Siqian Zhang*, Yutao Zhu, Ganggang Dong, Gangyao Kuang. Truncated SVD-based compressive sensing for downward-looking three-dimensional SAR imaging with uniform/nonuniform linear array. IEEE Geoscience and Remote Sensing Letters, 2015, 12(9): 1853-1857, September.   {More Detail}

[9] >> Siqian Zhang*, Gangyao Kuang, Yutao Zhu, Ganggang Dong. Compressive sensing algorithm for downward-looking sparse array 3-D SAR imaging, IET International Radar Conference 2015.   { More Detail }

[2014]

[8] >> Ganggang Dong*, Gangyao Kuang. Sparse Representation of Monogenic Signal: With Application to Target Recognition in SAR Images, IEEE Signal Processing Letters, 2014, 21(8): 952-956, August.
More: [-PDF-]   [-Draft-]   [-Code-]   [-Bibtex-] [-RIS-]

[7] >> Ganggang Dong*, Na Wang, Gangyao Kuang, Yinfa Zhang. Kernel Linear Representation: Application to Target Recognition in Synthetic Aperture Radar Images. SPIE Journal of Applied Remote Sensing, 2014, 8:083613-1-14.
More: [-Detail-]   [-PDF-]   [-Code-]   [-Bibtex-] [-RIS-]

[6] >> Ganggang Dong*, Gangyao Kuang, Linjun Zhao, Jun Lu, Min Lu. Joint Sparse Representation of Monogenic Components: with Application to Automatic Target Recognition in SAR imagery. 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014, 549-552, Quebec, Canada.   (EI, Citations: 7)
[PDF]   [Draft]   [Code]   [Bibtex]

[5] >> Ganggang Dong*, Gangyao Kuang, Linjun Zhao, Jun Lu, Min Lu. Nonnegative and Local Linear Regression for Classification in SAR Imagery. 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014, 1702-1705, Quebec, Canada.   (EI, Citations: 2)
[PDF]   [Draft]   [Code]   [Bibtex]

[4] >> Xiaoqiang Zhang*, Boli Xiong, Ganggang Dong, Gangyao Kuang. "A Method for Pose Estimation of Ship Target from SAR ROI Based on Ellipse Fitting", Progress in Electromagnetics Research Symposium 2014, August, pp.1077-1081   {More Detail}

[Before 2013]

[3] >> Ganggang Dong*, Na Wang, Canbin Hu, Yongmei Jiang. SAR image segmentation combining the PM diffusion model and MRF model. 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012, 4307-4310, Munich, Germany.   (EI, Citations: 5)
[PDF]   [Draft]   [Code]   [Bibtex]

[2] >> Gang-Gang Dong*, Ling-Jun Zhao, Na Wang, Yong-Mei Jiang, SAR Image Segmentation Based on "Soft" Estimation of EM Parameter, Modern Radar, 2012, 34(10): 41-45. (In Chinese. The English version is not available. Please contact me if you are interested with this paper.)

[1] >> Ganggang Dong, Gangyao Kuang. Research for SAR Image Segmentation Based on Markov Random Field Model. The dissertation to apply the Master Degree, National University of Defense Technology. 2012, December. ([PDF In Chinese])

[Cooperator]

♥   Prof. Gangyao Kuang, National University of Defense Technology
♥   Prof. Jocelyn Chanussot, Grenoble Institute of Technology, IEEE Fellow
♥   Dr. Siqian Zhang, Lecturer in National University of Defense Technology
♥   Dr. Xiaoqiang Zhang, Ph. D cantidate in National University of Defense Technology
♥   Dr. Meiting Yu, Ph. D cantidate in National University of Defense Technology
♥   Dr. Dongdong Guan, Ph. D cantidate in National University of Defense Technology

[Service]

♣   IEEE Transactions on Image Prcessing
♣   IEEE Transactions on Geoscience and Remote Sensing
♣   IEEE Access
♣   IEEE Journal of Selected Topic on Applied Earth Observations and Remote Sensing
♣   IEEE Geoscience and Remote Sensing Letters
♣   IEEE Sensors Journal
♣   IET Radar Sonar & Navigation
♣   MDPI Remote Sensing
♣   Taylor & Francis International Journal of Remote Sensing
♣   Taylor & Francis Remote Sensing Letters
♣   Taylor & Francis Journal of Electromagnetic Waves and Applications
♣   SPIE Journal of Applied Remote Sensing
♣   SPIE Journal of Electronic Imaging
♣   SPIE Optical Engineering
♣   Elsevier Magnetic Resonance Imaging
♣   Elsevier Aerospace Science and Technology