Deep Potato
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Deep Potato - hyperspectral imagery of potato leaves with reference measurements dataset: towards potato physiological features modeling. The dataset contains 8 high-resolution hyperspectral orthophoto maps for deep learning modeling, stored in the "orthophoto_maps" folder. The maps are encoded in ENVI format. For each map 2 files: HDR file with the necessary information and BSQ file with imagery data are provided. The BSQ files are compressed as ZIP. - for reference, there are 60 lab measurements supplemented as well as 74 physiological measurements based on collected plants' material, both with precise geolocation data linking the measurements and the orthophoto maps. Those files are stored in the "measurements" folder, - hyperspectral images, extracted from orthophoto maps, stored in the "images" folder - you will find 84 different images there, stored in binary format (could be easily opened using python numpy library). - a "dataset_presentation.html" file with a brief presentation of the dataset. This data repository contains analytical data for the following submitted publication: - Ruszczak B., Boguszewska-Mańkowska D.: Deep Potato – the hyperspectral imagery of potato cultivation with reference agronomic measurements dataset: towards potato physiological features modeling, Data in Brief, 2022, 108087, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2022.108087
Deep Potato——马铃薯叶片高光谱影像（hyperspectral imagery）与参考测量数据集：面向马铃薯生理特征建模。 本数据集包含8幅用于深度学习建模的高分辨率高光谱正射影像（hyperspectral orthophoto maps），存储于"orthophoto_maps"文件夹中。该类影像采用ENVI格式编码，每幅影像对应两个文件：存储必要元数据的HDR文件，以及承载影像数据的BSQ文件，其中BSQ文件已压缩为ZIP格式。 配套提供60项实验室测量数据与74项基于采集植株样本的生理特征测量数据，所有测量数据均附带精确地理定位信息，可与正射高光谱影像建立关联匹配，相关文件存储于"measurements"文件夹中。 从正射影像中提取的高光谱影像存储于"images"文件夹，内含84幅不同影像，采用二进制格式存储（可通过Python的numpy库便捷读取）。 附带"dataset_presentation.html"文件，用于简要介绍本数据集。 本数据集仓库包含对应已发表论文的分析数据：Ruszczak B.、Boguszewska-Mańkowska D.：《Deep Potato——马铃薯栽培高光谱影像与参考农艺测量数据集：面向马铃薯生理特征建模》，《Data in Brief》，2022年，文章编号108087，ISSN 2352-3409，https://doi.org/10.1016/j.dib.2022.108087
