Resume

Biography

Currently, I am a Lecturer in the Faculty of Geographical Science at Beijing Normal University, Beijing, China, since 2018. Before that, I graduated from Peking University with a Ph.D. degree in Geoscience and Remote Sensing. Also, I joined the co-training program during 2017-2018 with Peking University and the University of Colorado Boulder.

Research Interests

My research interest lies in Earth Observation Big Data Mining and Artifical Interlligence Algorithms in Satellite data interpretation. My research interests include

• Multi-sensor data fusion
• Time-series imagery processing
• High-resolution imagery understanding
• Deep learning applications in remote sensing

Education

• Joint Ph.D in Aerospace Engineering Sciences, University of Colorado at Boulder, 2017
• Ph.D in Cartography and GIS, Peking University, 2018
• B.S. in Remote Sensing, Shandong University of Science and Technology, 2013

Work experience

• 2018-present: Lecturer, Faculty of Geographical Science, Beijing Normal University

Publications

Learning multiscale and deep representations for classifying remotely sensed imagery

Wenzhi Zhao, et al. (2016). "Paper Learning multiscale and deep representations for classifying remotely sensed imagery." ISPRS Journal of Photogrammetry and Remote Sensing. 113.

Scene classification using multi-scale deeply described visual words

Wenzhi Zhao, et al. (2016). "Scene classification using multi-scale deeply described visual words." International Journal of Remote Sensing. 10(7).

Contextually guided very-high-resolution imagery classification with semantic segments

Wenzhi Zhao, et al. (2017). "Contextually guided very-high-resolution imagery classification with semantic segments." ISPRS Journal of Photogrammetry and Remote Sensing. 132.

Object-based convolutional neural network for high-resolution imagery classification

Wenzhi Zhao, et al. (2017). "Object-based convolutional neural network for high-resolution imagery classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(7).

Land cover mapping with higher order graph-based co-occurrence model

Wenzhi Zhao, et al. (2018). "Land cover mapping with higher order graph-based co-occurrence model." remote sensing. 151.

Exploring semantic elements for urban scene recognition Deep integration of high-resolution imagery and OpenStreetMap

Wenzhi Zhao, et al. (2019). "Exploring semantic elements for urban scene recognition Deep integration of high-resolution imagery and OpenStreetMap." ISPRS journal of photogrammetry and remote sensing. 151.

Semisupervised Hyperspectral Image Classification With Cluster-Based Conditional Generative Adversarial Net

Wenzhi Zhao, et al. (2019). "Semisupervised Hyperspectral Image Classification With Cluster-Based Conditional Generative Adversarial Net." IEEE Geoscience and Remote Sensing Letters. 17(3).

Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection

Wenzhi Zhao, et al. (2019). "Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection." IEEE Transactions on Geoscience and Remote Sensing. 54(8).

Sample Generation with Self-Attention Generative Adversarial Adaptation Network (SaGAAN) for Hyperspectral Image Classification

Wenzhi Zhao, et al. (2019). "Sample Generation with Self-Attention Generative Adversarial Adaptation Network (SaGAAN) for Hyperspectral Image Classification." Remote Sensing. 12(5).

Deeply synergistic optical and SAR time series for crop dynamic monitoring

Wenzhi Zhao, et al. (2020). "Deeply synergistic optical and SAR time series for crop dynamic monitoring." Remote Sensing of Environment. 247.

Talks

An object-based convolutional neural network for urban building semantic classification

August 02, 2019

Poster at International Geoscience and Remote Sensing Symposium, Yokohama, Japan

基于众源地理数据与深度学习的城市建筑功能信息提取(in Chinese)

October 18, 2019

Presentation at 2019中国地理信息科学理论与方法学术年会, 上海, 中国

Generative Adversarial Network for Fine-scale change detection

November 18, 2019

Talk at ISPRS Workshop, Changsha, Hunan, China

Semantic Classification of Urban Buildings using deep learning and VGI information

January 20, 2020

colloquia at winter term colloquia series, University of Salzburg, Austria

Teaching

Teaching experience 1

时空大数据与社会感知(in Chinese)