A balanced random learning strategy for CNN based Landsat image segmentation under imbalanced and noisy labels

Xuemei Zhao, Yong Cheng, Luo Liang, Haijian Wang, Xingyu Gao, Jun Wu

Abstract: Highlights•Propose a random learning strategy to resist the impact of noisy labels.•Propose to compensate the information loss of random learning by multi-layer information.•Propose to use different confidence intervals on different classes to balance the learning ability.