刘异，女，博士，副教授，硕士生导师，航空航天所。
研究方向：利用人工智能(深度学习、迁移学习）等技术研究遥感影像信息的提取与解译。
办公电话：
电子邮件：yliu@sgg.whu.edu.cn
办公地点：武汉大学信息学部4 号楼8206
一、教育经历
1999.09 -2003.07 中国地质大学（武汉），计算机科学与技术系，学士
2003.09-2005.07 武汉大学，测绘遥感信息工程国家重点实验室，硕士
2005.09-2009.07 武汉大学，测绘遥感信息工程国家重点实验室，博士
2007.10 -2008.10 中密歇根大学 （美国），地理系，访问学习
二、工作经历
2012年12月至今，武汉大学测绘学院，副教授
2009 年7月 – 2012年11月，武汉大学测绘学院，讲师
三、论文及论著
[1].Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model. IEEE Geoscience and Remote Sensing Letters, 2020年
[2].Vegetation Land Use/Land Cover Extraction From High-Resolution Satellite Images Based on Adaptive Context Inference, IEEE Access,? 2020年
[3].Cross-domain Distance Metric Learning Framework With Limited Target Samples for Scene Classification of Aerial Images. IEEE Transactions on Geoscience and Remote Sensing,? 2019年
[4].Semi-supervised center-based discriminative adversarial learning for cross-domain scene-level land-cover classification of aerial images. ISPRS Journal of Photogrammetry and Remote Sensing,? 2019年
[5].TrAdaBoost Based on Improved Particle Swarm Optimization for Cross-Domain Scene Classification With Limited Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018年
[6].Scene Capture and Selected Codebook-based Refined Fuzzy Classification on the large High-Resolution Images.IEEE Transactions on Geoscience and Remote Sensing，2018年
[7].Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification. Remote Sensing，2018年
[8].Improved Class-Specific Codebook with Two-Step Classification for Scene-Level Classification of High Resolution Remote Sensing Images. Remote sensing，2017年
[9].顾及遥感影像场景类别信息的视觉单词优化分类. 遥感学报，2017年
[10].联合Fisher核编码和深度卷积神经网络的高分影像场景分类. 遥感信息，2018年
[11].动态数据驱动模式下基于深度循环网络的湖泊流域降雨汇水径流模拟预测研究. 遥感学报，2018年
[12]. 刘异，龚健雅，呙维. P2P 环境下影像数据流传输的资源定位及选择研究，测绘学报,
2010，39(4):383-389.
[13]. 刘异，呙维，江万寿，龚健雅. 一种基于云计算模型的遥感处理服务模式研究与实现.
计算机应用研究2009.
[14]. Wei Guo, JianYa Gong, WanShou Jiang, Yi Liu and Bing She. OpenRS-Cloud: A remote sensing
image processing platform based on cloud computing environment, SCIENCE CHINA
Technological Sciences, Volume 53, Supplement 1, 221-230. 2010
[15]. Wu Huayi, Zhu Haijun, Liu Yi. A Raster-Based Map Information Measurement for Qos，
Proceeding of ISPRS 2004.
专利
[1]. 吴华意，朱海军，刘异. 一种二维矢量数据压缩方法，专利公开号CN**,2006.
[2]. 呙维，朱欣艳，胡涛，刘异. 一种并行的分形网络演化影像分割方法，专利公开CNA.
Resume
Personal
Yi Liu，PhD，Lecture
Phone：
Email：yliu@sgg.whu.edu.cn
Office：Building 4 Room 8206, Information Division of the Wuhan University
Education
1999.09- 2003.07 Computer Science and Technology, China University of Geosciences, B.S.
2003.09-2005.07 State key laboratory of information engineering in surveying, mapping and
remote sensing, Wuhan University, M.S.
2005.09-2009.07, State key laboratory of information engineering in surveying, mapping and
remote sensing, Wuhan University, Ph.D.
2007.10-2008.10, Department of Geography, Central Michigan University, USA, Visiting scholar
Professional Employment
2009.09-Present School of geodesy and geomantics
Research interest：
Information extraction and interpretation for high resolution remote sensing image
Pulication:
[1].Scene Capture and Selected Codebook-based Refined Fuzzy Classification on the large High-Resolution Images.IEEE Transactions on Geoscience and Remote Sensing，2018年
[2].Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification.?Remote Sensing，2018年
[3].Improved Class-Specific Codebook with Two-Step Classification for Scene-Level Classification of High Resolution Remote Sensing Images.?Remote sensing，2017年
Patent
[1] Wu huayi, Zhu haijun, Liu yi. A method for 2d vector data compression. Patent disclosure
number:CN**,2006.