A Rubust Method for Roof Extraction and Height Estimation
Jiarui Hu, Zijun Huang, Fei Shen, Dian He, Qingyu Xian
Abstract
In this article, we introduce the solution we used in the 2023 IEEE GRSS Data Fusion Contest Track 2. The task demands a roof type classification method and a building height estimation method. For roof type classification, our experiments are based on Swin transformer, combined with DoubleHead module and RFLA strategy, which can effectively improve model’s performance on small objects. For building height estimation, our experiments are based on SegFormer. Our experiments use a part of train set as validation set.
Topics & Concepts
RoofComputer scienceTransformerCONTESTSet (abstract data type)Task (project management)Track (disk drive)Sensor fusionData miningArtificial intelligenceEngineeringStructural engineeringVoltageLawSystems engineeringProgramming languageElectrical engineeringPolitical scienceOperating systemRemote Sensing and LiDAR ApplicationsVideo Surveillance and Tracking MethodsAutomated Road and Building Extraction