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

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

In this article, 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 Academ...

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Bibliographic Details
Main Authors: Xian Sun, Peijin Wang, Zhiyuan Yan, Wenhui Diao, Xiaonan Lu, Zhujun Yang, Yidan Zhang, Deliang Xiang, Chen Yan, Jie Guo, Bo Dang, Wei Wei, Feng Xu, Cheng Wang, Ronny Hansch, Martin Weinmann, Naoto Yokoya, Kun Fu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural networks
Gaofen Challenge
object detection and recognition
optical images
SAR images
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/9521691/

Internet

https://ieeexplore.ieee.org/document/9521691/

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