主要研究方向：
强化学习，模式识别, 医学图像处理，深度学习， 遥感信息处理，SAR图像解译，
招收研究生专业：
计算机科学与技术、计算机技术、人工智能、电子信息、信息与通信工程等专业 的报考研究生， 主要从事强化学习、人工智能方向的研究，及其在自动驾驶、无人机控制、游戏对抗等方向的应用研究。欢迎报考。
主持项目：
[1] 国家自然科学基金青年项目，61701154, 基于图核融合的高分辨率SAR图像精细变化检测研究, 2018/01-2020/12.
[2] 安徽省自然科学基金青年项目，1808085QF185，面向对象高分辨率 SAR 图像城市变化监测方法研究，2018/07-2020/6.
[3] 博士后面上基金项目一等资助，2018M630703，面向灾害监测的高分辨率SAR图像变化检测方法研究，2018/05-2020/11.
[4] 省重点实验室开放基金，在轨卫星的跟踪监控技术发展战略研究，2020/01-2021/12.
参与国家自然科学基金，国防863，装备预言基金等多项。
主要论著：
第一作者发表论文：
[9] Lu jia, TianTian Zhang (本人研究生)，Jing Fang, Feibiao Dong, Multiple Kernel Graph Cut for SAR Image Change Detection， Remote Sensing, 2021,12, 725.
[8]Lu Jia, Zhiwei Wang (本科生), 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.
第一发明人申请专利软著等：
[1]贾璐，王志伟(本科生)，常兴烁，基于多核图割的SAR图像变化检测方法，专利申请号：201910473537.2.
[2]贾璐，常兴烁（本科生），王志伟，基于空时图核函数的高分辨率SAR图像变化检测方法，专利申请号：201910473536.8.
[3]软件著作权，面向巢湖流域的高分SAR水情变化监测系统V1.0，登记号2019SR0655367.
其他成果节选：
[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.