CloudPatch-7 Hyperspectral Dataset

The "CloudPatch-7 Hyperspectral Dataset" comprises a manually curated collection of hyperspectral images, focused on pixel classification of atmospheric cloud classes. This labeled dataset features 380 patches, each a 50x50 pixel grid, derived from 28 larger, unlabeled parent images approximately 5000x1500 pixels in size. Captured using the Resonon PIKA XC2 camera, these images span 462 spectral bands from 400 to 1000 nm. Each patch is extracted from a parent image ensuring that its pixels fall within one of seven atmospheric conditions: Dense Dark Cumuliform Cloud, Dense Bright Cumuliform Cloud, Semi-transparent Cumuliform Cloud, Dense Cirroform Cloud, Semi-transparent Cirroform Cloud, Clear Sky - Low Aerosol Scattering (dark), and Clear Sky - Moderate to High Aerosol Scattering (bright). Incorporating contextual information from surrounding pixels enhances pixel classification into these 7 classes, making this dataset a valuable resource for spectral analysis, environmental monitoring, atmospheric science research, and testing machine learning applications that require contextual data. Parent images are very big in size, but they can be made available upon request.

“CloudPatch-7 高光谱数据集（CloudPatch-7 Hyperspectral Dataset）”是一套经人工甄选的高光谱图像集合，聚焦于大气云类的像素分类任务。该标注数据集包含380个图像块，每个图像块均为50×50像素的网格，源自28幅尺寸约5000×1500像素的未标注原始母图像。所有图像均采用Resonon PIKA XC2相机采集，覆盖400至1000 nm的光谱波段，共计462个光谱通道。每个图像块均从母图像中提取，且其所有像素仅对应以下7种大气场景之一：密实深色积云、密实亮积云、半透明积云、密实卷云、半透明卷云、晴朗天空-低气溶胶散射（暗背景）以及晴朗天空-中至高气溶胶散射（亮背景）。本数据集通过引入周边像素的上下文信息辅助完成上述7类像素的分类，可为光谱分析、环境监测、大气科学研究以及需要上下文数据的机器学习应用测试提供极具价值的研究资源。原始母图像尺寸较大，可根据申请向使用者提供。

搜集汇总

背景与挑战

背景概述

CloudPatch-7高光谱数据集是一个标注数据集，包含380个50x50像素的高光谱图像补丁，涵盖7种大气条件，适用于环境监测和机器学习研究。数据集由28个更大的未标记图像派生，每个像素具有462个光谱波段，为大气科学研究提供了丰富的上下文信息。