教师信息个人照片
姓    名贾璐性    别  女
出生年月1988-10-28最终学位博士                  
毕业学校西安电子科技大学雷达信号处理国家重点实验室
从事专业信号与信息处理                    职    务
所属院系电子工程系
所属科室(研究所)信号与信息处理研究所                    职     称 讲  师
联系方式
办公电话15255145982
E-mailLuJia@hfut.edu.cn
通讯地址安徽省合肥市蜀山区合肥工业大学翡翠湖校区科教楼B601
邮  编
简    历

贾璐:女,山东济南人。博士、讲师、硕士生导师。2016年12月获西安电子科技大学信息与通信工程专业博士学位;2017年1月加入合肥工业大学计算机与信息学院电子工程系。主要研究领域为雷达信号处理、遥感图像解译、人工智能、模式识别等。
研究方向

遥感信息处理,SAR图像解译,机器学习,模式识别


主持项目

[1] 国家自然科学基金青年项目,61701154, 基于图核融合高分辨率SAR图像精细变化检测研究, 2018/01-2020/1225万元

[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,2018/07-2020/610万元

[3] 博士后面上基金项目2018M630703,面向灾害监测的高分辨率SAR图像变化检测方法研究,2018/05-2020/118万元

参与国家自然科学基金,国防863装备预言基金等多项。

教学工作

本科课程:《通信原理》、《信号与系统》、《雷达系统》、《雷达对抗综合设计》

研究生课程:《多源信息融合》

获奖情况

2013 IET Radar conference 优秀论文奖

2018 陕西省电子学会优秀博士论文奖

主要论著

第一作者发表论文:

[1]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.

[2]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. 

[3]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. 

[4]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.
[5]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. 
[6]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. 
[7]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.

[8]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,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,王志伟,基于空时图核函数高分辨率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.