Agricultural plant hyperspectral imaging dataset

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
A. Gaidel, V. Podlipnov, N. A. Ivliev, R. Paringer, P. Ishkin, S. Mashkov, R. Skidanov
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引用次数: 2

Abstract

Detailed automated analysis of crop images is critical to the development of smart agriculture and can significantly improve the quantity and quality of agricultural products. A hyperspectral camera potentially allows to extract more information about the observed object than a conventional one, so its use can help in solving problems that are difficult to solve with conventional methods. Often, predictive models that solve such problems require a large dataset for training. However, sufficiently large datasets of hyperspectral images of agricultural plants are not currently publicly available. Therefore, we present a new dataset of hyperspectral images of plants in this paper. This dataset can be accessed via URL https://pypi.org/project/HSI-Dataset-API/. It contains 385 hyperspectral images with a spatial resolution of 512 by 512 pixels and spectral resolution of 237 spectral bands. The images were captured in the summer of 2021 in Samara and Novocherkassk (Russia) using Offner based Imaging Hyperspectrometer of our own production. The article demonstrates the work of some basic approaches to the analysis of hyperspectral images using the dataset and states problems for further solving.
农业植物高光谱成像数据集
农作物图像的详细自动化分析对智能农业的发展至关重要,可以显著提高农产品的数量和质量。与传统相机相比,高光谱相机可以提取更多关于被观测物体的信息,因此它的使用可以帮助解决传统方法难以解决的问题。通常,解决这类问题的预测模型需要大量的数据集进行训练。然而,目前还没有足够大的农业植物高光谱图像数据集可供公开使用。为此,本文建立了一个新的植物高光谱图像数据集。该数据集可以通过URL https://pypi.org/project/HSI-Dataset-API/访问。包含385幅高光谱图像,空间分辨率为512 × 512像素,光谱分辨率为237个光谱带。这些图像是在2021年夏天在萨马拉和诺沃切尔卡斯克(俄罗斯)使用我们自己生产的基于Offner的成像光谱仪拍摄的。本文展示了使用该数据集分析高光谱图像的一些基本方法的工作,并指出了有待进一步解决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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