Power Plant Satellite Imagery Dataset
收藏Figshare2017-08-16 更新2026-04-08 收录
下载链接:
https://figshare.com/articles/dataset/Power_Plant_Satellite_Imagery_Dataset/5307364/1
下载链接
链接失效反馈官方服务:
资源简介:
This dataset contains satellite imagery of 4,454 power plants within the United States. The imagery is provided at two resolutions: 1m (4-band NAIP iamgery with near-infrared) and 30m (Landsat 8, pansharpened to 15m). The NAIP imagery is available for the U.S. and Landsat 8 is available globally. This dataset may be of value for computer vision work, machine learning, as well as energy and environmental analyses.<br>Additionally, annotations of the specific locations of the spatial extent of the power plants in each image is provided. These annotations were collected via the crowdsourcing platform, Amazon Mechanical Turk, using multiple annotators for each image to ensure quality. Links to the sources of the imagery data, the annotation tool, and the team that created the dataset are included in the "References" section.<br>To read more on these data, please refer to the "Power Plant Satellite Imagery Dataset Overview.pdf" file. To download a sample of the data without downloading the entire dataset, download "sample.zip" which includes two sample powerplants and the NAIP, Landsat 8, and binary annotations for each.<br><br>Note: the NAIP imagery may appear "washed out" when viewed in standard image viewing software because it includes a near-infrared band in addition to the standard RGB data.<br><br><br>
本数据集包含美国境内4454座发电厂的卫星影像。该影像提供两种分辨率方案:1米分辨率(含近红外波段的4波段NAIP(NAIP)影像)与30米分辨率的陆地卫星8号(Landsat 8)影像,该影像经全色锐化处理至15米分辨率。其中NAIP影像覆盖美国全境,陆地卫星8号影像则可全球获取。本数据集可应用于计算机视觉、机器学习以及能源与环境分析相关研究。
此外,本数据集提供各影像中发电厂空间范围的精准位置标注。所有标注均通过众包平台Amazon Mechanical Turk(亚马逊机械 Turk)采集,且每张影像均由多名标注人员参与标注以确保标注质量。影像数据源、标注工具以及本数据集研发团队的相关链接均收录于“参考文献”章节。
如需了解该数据集的更多详细信息,请参阅《Power Plant Satellite Imagery Dataset Overview.pdf》(发电厂卫星影像数据集概述.pdf)文件。若无需下载完整数据集仅需获取样本,可下载“sample.zip”,该压缩包包含两座示例发电厂及其对应的NAIP影像、陆地卫星8号影像与二值化标注文件。
注意:由于NAIP影像除标准RGB波段外还包含近红外波段,因此在常规图像查看软件中打开时可能会出现“泛白”现象。
提供机构:
Trishul Nagenalli; Shamikh Hossain; Gouttham Chandrasekar; Boning Li
创建时间:
2017-08-16



