Hyperspectral City
收藏arXiv2025-09-30 收录
下载链接：
https://pbdl2019.github.io/challenge/index.html
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资源简介：
该数据集是一个大型的城市环境高光谱图像集，包含了六个类别：道路、植被、天空、金属、基础设施和行人。由于数据集较大，我们在模型训练中使用了子采样高光谱立方体。该任务的目的是进行语义分割。
This dataset is a large-scale hyperspectral image dataset for urban environments, which includes six categories: road, vegetation, sky, metal, infrastructure, and pedestrian. Given the large size of the dataset, we employed subsampled hyperspectral cubes during model training. The objective of this task is semantic segmentation.
