Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism
Expert Systems with Applications(2022)
摘要
•Proposed U-Net++ based network with attention mechanism for cloud segmentation.•Proposed SEUNet++ achieves an IoU score of 91.8 %.•Transfer learning helps to improve the segmentation results.•SEUNet++ performs better than the original U-Net++ architecture.•SEUNet++ improves the state-of-the-art by lifting the IoU score by 0.23 %.
更多查看译文
关键词
U-Net++,ResNet,95-Cloud,Semantic segmentation,Cloud segmentation,Multispectral satellite data
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要