1 code implementation • 24 Feb 2022 • Ruiqi Ma, Chi Chen, Bisheng Yang, Deren Li, Haiping Wang, Yangzi Cong, Zongtian Hu
At present, the anchor-based or anchor-free models that use LiDAR point clouds for 3D object detection use the center assigner strategy to infer the 3D bounding boxes.
no code implementations • 6 Jan 2022 • Yang Long, Gui-Song Xia, Liangpei Zhang, Gong Cheng, Deren Li
Finally, we perform ASP by unifying the tile-level scene classification and object-based image analysis to achieve pixel-wise semantic labeling.
no code implementations • 24 Aug 2021 • Zhenfeng Shao, Gui Cheng, Deren Li, Xiao Huang, Zhipeng Lu, Jian Liu
The integrated results combined both the characteristic of UAV and mobile mapping vehicle point cloud, confirming the practicability of the proposed joint data acquisition platform and the effectiveness of spatio-temporal-spectral-angular observation model.
no code implementations • 31 May 2021 • Liang Chen, Xiangchen Lu, Nan Shen, Lei Wang, Yuan Zhuang, Ye Su, Deren Li, Ruizhi Chen
The performance of those integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite.
1 code implementation • 29 May 2021 • Qiqi Zhu, Weihuan Deng, Zhuo Zheng, Yanfei Zhong, Qingfeng Guan, Weihua Lin, Liangpei Zhang, Deren Li
However, FPGA has difficulty extracting the most discriminative features when the sample data is imbalanced.
no code implementations • 22 Jun 2020 • Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li
After reviewing existing benchmark datasets in the research community of RS image interpretation, this article discusses the problem of how to efficiently prepare a suitable benchmark dataset for RS image interpretation.
no code implementations • 29 May 2018 • Yaxiang Fan, Gongjian Wen, Deren Li, Shaohua Qiu, Martin D. Levine
The method is based on Gaussian Mixture Variational Autoencoder, which can learn feature representations of the normal samples as a Gaussian Mixture Model trained using deep learning.