Dr. Zuyuan Wang

Fonction

collaboratrice scientifique

Dynamique du paysage

Télédétection

Contact

zuyuan.wang(at)wslto make life hard for spam bots.ch

+41 44 739 26 91+41 44 739 26 91

Institut fédéral de recherches sur la forêt, la neige et le paysage WSL
Zürcherstrasse 111
8903 Birmensdorf

Site

Birmensdorf Bi HP D 56

Research interests

Statistics Image Processing, pattern recognition, classification
Automatic forest change detection in remote sensing data for large area
Object based methods of VHR images for forest monitoring and management

Education and Professional Experience

2003 - present: Research scientist, WSL

2001 - 2003: PostDoc in Computer Science, University of Science & Technology of China

2002.04 - 2002.10, Assistant fellowship, BTexact Technologies Research, Ipswich, UK

2000 - 2001: Assistant fellowship, CEA Cadarache, France

1998 - 2001: Ph.D studies in Electronic & Engineering degree, University of Science & Technology of China

1991- 1998: M.Sc. & Bachelor studies in Electronic & Engineering degree, Anhui University

FURTHER INFORMATION

Projects

Forest Resource Dynamic Monitoring

The joint project between Switzerland, Laos, Malaysia and China aims to research and develop the key technologies for forest resources dynamic monitoring and forest volume estimation based on ALS and other related remote sensing technologies.

Publications WSL

Scientific publication article peer reviewed

Wang, Z.; Ginzler, C.; Eben, B.; Rehush, N.; Waser, L.T., 2022: Assessing changes in mountain treeline ecotones over 30 years using CNNs and historical aerial images. Remote Sensing, 14, 9: 2135 (22 pp.). doi: 10.3390/rs14092135

Chen, S.; Wei, Q.; Wang, W.; Tang, J.; Luo, B.; Wang, Z., 2022: Remote sensing scene classification via multi-branch local attention network. IEEE Transactions on Image Processing, 31: 99-109. doi: 10.1109/TIP.2021.3127851

Pang, Y.; Wang, W.; Du, L.; Zhang, Z.; Liang, X.; Li, Y.; Wang, Z., 2021: Nyström-based spectral clustering using airborne LiDAR point cloud data for individual tree segmentation. International Journal of Digital Earth, 14, 10: 1452-1476. doi: 10.1080/17538947.2021.1943018

Price, B.; Waser, L.T.; Wang, Z.; Marty, M.; Ginzler, C.; Zellweger, F., 2020: Predicting biomass dynamics at the national extent from digital aerial photogrammetry. International Journal of Applied Earth Observation and Geoinformation, 90: 102116 (10 pp.). doi: 10.1016/j.jag.2020.102116

Wang, Z.; Ginzler, C.; Waser, L.T., 2020: Assessing structural changes at the forest edge using kernel density estimation. Forest Ecology and Management, 456: 117639 (13 pp.). doi: 10.1016/j.foreco.2019.117639

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Further scientific publications

Wang, Z.; Boesch, R.; Ginzler, C., 2011: Shadow detection in ADS40 images using near-infrared information. In: 2011: 2011 International Conference on Multimedia Technology (ICMT 2011), Proceedings. 2011 International Conference on Multimedia Technology (ICMT 2011), Hangzhou, China. 3222-3225. doi: 10.1109/ICMT.2011.6003083

Wang, Z.; Boesch, R.; Ginzler, C., 2011: Quantitative comparison of segmentation results from ADS40 images in Swiss NFI. In: 2011: Proceedings. The 6th International Conference on Image and Graphics. 6th International Conference on Image and Graphics, Hefei, Anhui, China. 147-151. doi: 10.1109/ICIG.2011.105

Wang, Z.; Boesch, R.; Ginzler, C., 2010: Automatic thresholding for shadow removing based on NGATE DSM. In: 2010: 2010 IEEE 10th international conference on signal processing, ICSP2010, Beijing, China. 889-892. doi: 10.1109/ICOSP.2010.5656039

Wang, Z.; Boesch, R.; Ginzler, C., 2008: Integration of high resolution aerial images and airborne LIDAR data for forest delineation. In: 2008: 1203-1207.

Wang, Z.; Boesch, R.; Ginzler, C., 2008: Feature Extraction for Forest Inventory. In: Li, D.; Deng, G. (eds), 2008: 2008 Congress on Image and Signal Processing, CISP’ 08. Congress on Image and Signal Processing, Sanya, May 27-30, 2008. 732-735. doi: 10.1109/CISP.2008.736

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