five

2018年12月7日南宁市兴宁区部分区域无人机可见光遥感影像_08|无人机遥感数据集|地理信息数据集

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国家对地观测科学数据中心2022-05-06 更新2024-03-04 收录
无人机遥感
地理信息
下载链接:
https://www.chinageoss.cn/datasharing/datasetDetails/626665c64984d37e565d7401
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资源简介:
此数据为国家对地观测科学数据中心-无人机遥感数据资源分中心收集的2018年-2020年对地观测行业数据,并由国家对地观测中心无人机分中心进行了重新整理、编目。数据集影像分辨率多为厘米级,考虑无人机遥感影像高分辨的特性和《测绘地理信息管理工作国家秘密目录 》相关规定,无人机遥感数据采用线上检索和线下提供的方式进行数据交换和共享。
创建时间:
2022-05-06
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--- license: cc0-1.0 task_categories: - image-classification - image-segmentation tags: - medical pretty_name: T-SYNTH size_categories: - 1K<n<10K --- # T-SYNTH <!-- Provide a quick summary of the dataset. --> T-SYNTH is a synthetic digital breast tomosynthesis (DBT) dataset with four breast fibroglandular density distributions imaged using Monte Carlo x-ray simulations with the publicly available [Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE)](https://github.com/DIDSR/VICTRE) toolkit. ## Dataset Details The dataset has the following characteristics: * Breast density: dense, heterogeneously dense, scattered, fatty * Mass radius (mm): 5.00, 7.00, 9.00 * Mass density: 1.0, 1.06, 1.1 (ratio of mass radiodensity to that of fibroglandular tissue) ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [Christopher Wiedeman](https://www.linkedin.com/in/christopher-wiedeman-a0b01014b), [Anastasiia Sarmakeeva](https://www.linkedin.com/in/anastasiia-sarmakeeva/), [Elena Sizikova](https://esizikova.github.io/), [Daniil Filienko](https://www.linkedin.com/in/daniil-filienko-800160215/), [Miguel Lago](https://www.linkedin.com/in/milaan/), [Jana Gut Delfino](https://www.linkedin.com/in/janadelfino/), [Aldo Badano](https://www.linkedin.com/in/aldobadano/) - **License:** Creative Commons 1.0 Universal License (CC0) ## Data Acquisition Details **Imaging Modality:** Paired 2D digital mammography (DM) and 3D digital breast tomosynthesis (DBT) images. 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