Automated High-Resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge

Abstract

In this paper, we introduce the 2020 Gaofen Challenge and relevant scientific outcomes. The 2020 Gaofen Challenge is an international competition, which is organized by the China High-Resolution Earth Observation Conference Committee and the Aerospace Information Research Institute, Chinese Academy of Sciences and technically co-sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE-GRSS) and the International Society for Photogrammetry and Remote Sensing (ISPRS). It aims at promoting the academic development of automated high-resolution earth observation image interpretation. Six independent tracks have been organized in this challenge, which cover the challenging problems in the field of object detection and semantic segmentation. With the development of convolutional neural networks, deep learning-based methods have achieved good performance on image interpretation. In this paper, we report the details and the best-performing methods presented so far in the scope of this challenge.