International Geoscience and
Remote Sensing Symposium
Theme Tag Line
MO2.R2.4
A MULTI-SCALE DEEP FEATURE LEARNING AND SEMANTIC ENHANCEMENT APPROACH FOR REMOTE SENSING SCENE CLASSIFICATION
Hengyi Huang, Wenzhen Wang, Nanjing University of Science and Technology, China; Wenzhi Liao, Flanders Make and Ghent University, Belgium; Liang Xiao, Nanjing University of Science and Technology, China
Session:
MO2.R2: Supervised, Semi-Supervised, and Unsupervised Learning and Scene Classification Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Mon, 17 Jul, 16:21 - 16:33 Pacific Time (UTC -8)
Session Co-Chairs:
Claudia Paris, University of Twente and Begüm Demir, Technische Universität Berlin