Lu Jia , female, from Jinan, Shandong. She graduated from the National key Laboratory of Radar Signal Processing, Xidian University in December 2016. Since 2017, she has been teaching at Hefei University of Technology, where she is responsible for teaching courses such as "Principles of Communication," "Signal and Systems," and "Multi-source Information Fusion." Her main research interests include unmanned aerial vehicle remote sensing for Earth observation, reinforcement learning-based unmanned aerial vehicle control, image processing, etc. Students interested in the aforementioned research areas are welcome to join her team.

Education:

[1] September 2012 - December 2016          Ph.D. in Signal and Information Processing, the National Key Laboratory of Radar Signal Processing，Xidian University

     Work Experience:    

   [1] January 2022 - Present         Associate Professor, School of Computer and Information, Hefei University of Technology

[2] January 2017 - December 2021        Lecturer, School of Computer and Information, Hefei University of Technology

Research Field：

       reinforcement learning,  image processing, deep learning, Remote sensing technology

 Graduate Student Recuitment：

            We recruit undergraduates majoring in computer science and technology, artificial intelligence, electronic information, information and communication engineering, etc。

Research Projects：

[1] National Natural Science Foundation，61701154. 

[2] Natural Science Foundation of Anhui Province, 1808085QF185.

Paper Publication：

[9] Lu jia, TianTian Zhang，Jing Fang, Feibiao Dong,  Multiple Kernel Graph Cut for SAR Image Change Detection， Remote Sensing, 2021,12, 725.

[8]Lu Jia, Zhiwei Wang, Ye Jiang, Fang Zhou, Chunxiao Fan, “Remote sensing image change detection using a hybrid graphical model,” Journal of Applied Remote Sensing. 13(4), 046515 (2019), 046515:1-17.

[7]Lu Jia, Jincheng Wang, Jiaqiu Ai and Ye Jiang, “A hierarchical spatial- temporal graph-kernel for high-resolution SAR image change detection,” International Journal of Remote Sensing. 2020: 41(10), 3866-3885. 

[6]Lu Jia, Ming Li, Yan Wu, Peng Zhang, Gaofeng Liu, Hongmeng Chen, and Lin An. SAR image change detection based on iterative label-information composite kernel supervised by anisotropic texture [J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(7): 3960-3973. 

        [5]Lu Jia, Ming Li, Peng Zhang, and Yan Wu. SAR image change detection based on correlation kernel and multistage extreme learning machine [J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(10): 5993-6006.
        [4]Lu Jia, Ming Li, Peng Zhang, Yan Wu, and Huahui Zhu. SAR image change detection based on multiple kernel k-means clustering with local-neighborhood information [J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(6): 856-860. 
        [3]Lu Jia, Ming Li, Yan Wu, Peng Zhang, Hongmeng Chen, and Lin An. Semisupervised SAR image change detection using a cluster-neighborhood kernel [J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(8): 1443-1447. 
        [2]Lu Jia, Ming Li, Peng Zhang, Yan Wu, Lin An, and Wanying Song. Remote sensing image change detection with fusion of multiple wavelet kernels [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (8): 3405-3418.

[1]Lu Jia, Ming Li, Lu Xing, Yan Wu and Wanying Song. An improved particle filter for dim radar target detection and tracking[C]. IET International Radar Conference, Apr. 2013.

Patents：

[1] Lu Jia，Zhiwei Wang，Xingshuo Chang，A Multiple Kernel Graph Cut method for SAR Image Change Detection，Patent No. 201910473537.2.

[2] Lu Jia，Xingshuo Chang，Zhiwei Wang ，A  spatial- temporal graph-kernel method for high-resolution SAR image change detection，Patent No. 201910473536.8.

[3] High-resolution SAR water monitoring system for Chaohu basin V1.0，Software copyright No.2019SR0655367.

Other scientific research achievements：

[1]Wang, Jun ; Yang, Xuezhi ; Jia, Lu; Yang, Xiangyu; Dong, Zhangyu, Pointwise SAR image change detection using stereo-graph cuts with spatio-temporal information, REMOTE SENSING LETTERS, 2019,10(5):421-429, 

[2]Zhang Anjun ;Yang, Xuezhi ; Jia, Lu ; Ai, Jiaqiu ; Xia, Jingfan, SRAD-CNN for adaptive synthetic aperture radar image classification, INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40(9):3461-3485

[3]Zhang Anjun ;Yang, Xuezhi ; Jia, Lu ; Ai, Jiaqiu ; Dong Zhangyu, SAR image classification using adaptive neighborhood-based convolutional neural network, EUROPEAN JOURNAL OF REMOTE SENSING, 2019, 52(1):178-193

[4] Wang Jun, Yang Xuezhi,Yang Xiangyu, Jia Lu,Fangshuai, Unsupervised change detection between SAR images based on hypergraphs, ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020,164:61-72

[5]Wanying Song, Ming Li, Peng Zhang, Yan Wu, Lu Jia, and Lin An. The WGΓdistribution for multilook polarimetric SAR data and its application [J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(10): 2056-2060.

[6] Jingfan Xia, Xuezhi Yang, and Lu Jia. A multi-depth convolutional neural network for SAR image classification. Remote Sensing Letters, 2018, 9(12):1138-1147.

[7] Jun Wang, Xuezhi Yang, and Lu Jia. Pointwise SAR image change detection based on stereograph model with multiple-span neighbourhood information.  International Journal of Remote Sensing, 2019. 40(1):31-50.