Biography :

Kang Wenchao obtained a bachelor's degree in communication engineering from Beijing University of Technology in 2016, and a doctor's degree in signal and information processing from the Aerospace Information Innovation Institute of the Chinese Academy of Sciences in 2021. At present, he is an assistant professor in the Institute of Automation of the Chinese Academy of Sciences, and his research direction is intelligent interpretation of remote sensing images and in-depth learning. Currently, 7 papers have been published, including 4 SCI papers.

Publications :

• CFNet: A Cross Fusion Network for Joint Land Cover Classification Using Optical and SAR Images
• DO-Net: Dual-Output Network for Land Cover Classification From Optical Remote Sensing Images
• EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images
• Flood Detection in Gaofen-3 SAR Images via Fully Convolutional Networks