| Biography | |
|---|---|
 Prof. Xiran Zhou China University of Mining and Technology, China |
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| Title: Knowledge and attention integrated cartographic pattern recognition and geomorphological feature recognition | |
| Abstract: Maps and DEMs are main remote sensing-derivative data that supports spatial analysis and geographical interpretation. The era of big earth observation data makes massive map and DEM data available, which have been widely integrated into daily social life and production activities. Although the-state-of-the-art GeoAI techniques have been utilized into a variety of geospatial applications, those approaches might still be challenging for precise map retrieval and fine-detailed geomorphological characterization. This presentation reports our efforts on implementing GeoAI to conduct cartographical pattern recognition. The task includes map scene classification, map annotation recognition and map super-resolution, which are significance of map content understanding and map file retrieval. Moreover, we report the research progress on the significant task of landform characterization—geomorphological feature recognition with GeoAI. The related investigations include evaluation on the scale efforts of geomorphological feature representation, fine-detailed geomorphological feature recognition, and semantic-enhanced landform characterization. | |
| Biography: Xiran Zhou was born in Kunming Yunnan Province, China. He received the M.S. degree in from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing at Wuhan University, and the Ph.D. degree from Arizona State University, US. He is currently a Lecturer at China University of Mining and Technology, Xuzhou, China. His research interests in the areas of: geospatial artificial intelligence, remote sensing image interpretation, spatial data analysis, and data mining. He has over 20 publications in these areas. His current research focus covers landscape scene understanding with remote sensing data, and environmental big remote sensing data. He is now serving as the editorial board member of International Journal of Geo-Spatial Knowledge and Intelligence, and the reviewer board member of Remote Sensing. | |
