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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Applying for a Ph. D Program
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 1
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portfolio
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publications
PSF Analysis and Ground Test Results of a Novel Circular Array 3-D SAR System
Published in Journal of Radars, 2018
This paper establishes a novel Circular Array SAR system to acquire high-quality 3-D SAR imaging, and verifies its performance through Point Spread Function simulation and outdoor ground test experiment.
Recommended citation: Jing Ming, Xiaoling Zhang, Ling Pu, Jun Shi. "PSF Analysis and Ground Test Results of a Novel Circular Array 3-D SAR System." Journal of Radars. vol. 7, no. 6, pp. 770-776, Dec. 2018. doi: 10.12000/JR18068. http://jingming2019.github.io/files/PSF-Analysis-and-Ground-Test-Results-of-a-Novel-Circular-Array-3-D-SAR-System.pdf
An Autofocus Method for SAR Frequency-Domain Backprojection Imaging
Published in 2019 IEEE Radar Conference, 2019
This paper proposes a novel fast autofocus method for FDBP to compensate phase error in wavenumber domain by estimating motion error.
Recommended citation: L. M. Zhou, X. L. Zhang, J. Shi, S. J. Wei, J. Ming, et al. "An Autofocus Method for SAR Frequency-Domain Backprojection Imaging." 2019 IEEE Radar Conference (RadarConf). Boston, USA, 2019, pp. 1-5. doi: 10.1109/RADAR.2019.8835552 http://jingming2019.github.io/files/An-Autofocus-Method-for-SAR-Frequency-Domain-Backprojection-Imaging.pdf
A CNN-based Method for SAR Image Despeckling
Published in 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
This paper presents a modified method for SAR image despeckling based on Convolutional Neural Networks (CNNs) to remove the speckle noise of SAR images.
Recommended citation: D. J. Ma, X. L. Zhang, X. X. Tang, J. Ming, et al. "A CNN-based Method for SAR Image Despeckling." IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing SymposiumYokohama, Japan, 2019, pp. 4272-4275. doi: 10.1109/IGARSS.2019.8899122 http://jingming2019.github.io/files/A-CNN-based-Method-for-SAR-Image-Despeckling.pdf
A Fast Sparse Recovery Algorithm via Resolution Approximation for LASAR 3D imaging
Published in IEEE Access, 2019
This work proposes a FSRARA compressed sensing algorithm to acquire high-quality LASAR 3D imaging results with high computational efficiency. Several schemes are applied to reduce the dimension of matrix operation and improve side-lobe compression ability.
Recommended citation: B. Tian, X. Zhang, S. Wei, Jing Ming, et al. "A Fast Sparse Recovery Algorithm via Resolution Approximation for LASAR 3D imaging." in IEEE Access. doi: 10.1109/ACCESS.2019.2959128 http://jingming2019.github.io/files/A-Fast-Sparse-Recovery-Algorithm-via-Resolution-Approximation-for-LASAR-3D-imaging.pdf
Precise and Robust Ship Detection for High-Resolution SAR Imagery Based on HR-SDNet
Published in Remote Sensing, 2020
This work proposes a deep learning network to detect ships in the high-reolsution SAR images. The method is testified by the presented Microsoft Common Objects in Context evaluation metrics on both SAR ship detection dataset (SSDD) and TerraSAR-X high-resolution images.
Recommended citation: Wei, S.; Su, H.; Ming, J.; Wang, C.; Yan, M.; Kumar, D.; Shi, J.; Zhang, "X. Precise and Robust Ship Detection for High-Resolution SAR Imagery Based on HR-SDNet." Remote Sens. 2020, 12, 167. http://jingming2019.github.io/files/Precise-and-Robust-Ship-Detection-for-High-Resolution-SAR-Imagery-Based-on-HR-SDNet.pdf
researches
Single-Objective Programming based Sun’s Shadow Location Optimization Model
Mathematical Contest in Modeling of China, supervised by Prof. Guanghui Cheng, September, 2015 - September, 2015
A single-objective programming mathematical model is built in this work to determine the shooting location or date from the sun’s shadow of substances in the given picture.
RSSI based Positioning System Design
UESTC Innovation and Enterprise Program, supervised by Engr. Bo Chen, May, 2015 - June, 2016
Quadrilateral diagonal intersection positioning algorithm with the distance weighted preprocessing is proposed to reduce the positional error by 20%.
Back-projection Imaging Algorithm and Motion Error Compensation
Undergraduate Thesis, supervised by Prof. Xiaoling Zhang, September, 2016 - June, 2017
This work designs an autofocus algorithm regarding the image intensity and image contrast to compensate the motion error and realizes the high-quality SAR 2D imaging.
SAR Echo Signal Digital Modeling and Performance Analysis Software
Cooperation Projects with Beijing HQ Radar Technologies Co.LTD, supervised by Prof. Xiaoling Zhang, November, 2017 - September, 2018
This work consists of the simulation and verification of spaceborne/airborne SAR echo signal generation and interferometric processing on MATLAB.
Circular Array 3D SAR System Simulation and Ground Test Experiment
The National Natural Science Foundation of China, supervised by Prof. Xiaoling Zhang, August, 2018 - January, 2019
A new circular array 3D SAR system is presented with Point Spread Function derivation and ground test results which demonstrates its high-resolution imaging ability and effective side-lobe suppression capability.
Spaceborne Multi-baseline Interferometric SAR Technology
National Key Research & Development Program of China, supervised by Prof. Xiaoling Zhang, September, 2018 - October, 2019
This work is about performing the single/multi-baseline interferometric processing on TerraSAR-X Image Data and achieves 1m resolution Digital Elevation Model of Barcelona international airport.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
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Teaching experience 2
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