no code implementations • 18 Nov 2020 • Xinyu Dou, Cuijuan Liao, Hengqi Wang, Ying Huang, Ying Tu, Xiaomeng Huang, Yiran Peng, Biqing Zhu, Jianguang Tan, Zhu Deng, Nana Wu, Taochun Sun, Piyu Ke, Zhu Liu
We advanced a Random Forest model integrated K-means (RF-K) for the estimates with multi-source parameters.
1 code implementation • IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 2018 • Sheng-Jie Liu, Haowen Luo, Ying Tu, Zhi He, Jun Li
As it is very difficult and expensive to obtain class labels in real world, we integrate the proposed WCRN with AL to improve its generalization by using the most informative training samples.
Ranked #10 on Hyperspectral Image Classification on Pavia University (Overall Accuracy metric)