Recently, Professor Tian Zhihui's Remote Sensing and Geographic Computing team from the School of Geo-Science & Technology has made new progress in road intelligence extraction. The results are entitledExploring Label Probability Sequence to Robustly Learn Deep Convolutional Neural Networks for Road Extraction With Noisy DatasetsandExploring Multiple Crowdsourced Data to Learn Deep Convolutional Neural Networks for Road Extraction. They are published onIEEE Transactions on Geoscience and Remote Sensing, a top journal in the field of remote sensing, andInternational Journal of Applied Earth Observation and geoinformation, a top journal in the field of Geosciences. Doctoral student Li Panle, the lead author, is from Zhengzhou University, and Professor He Xiaohui from the School of Geo-Science & Technology is the corresponding author.