Hyperspectral dataset and associated MATLAB scripts supplementary to the paper 'Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery'

This database is the supplementary material of Tasseron et al., (2022): 'Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery' [Submitted and currently under review], preprint available online at https://doi.org/10.31223/X5RW7V. The dataset contains raw images, MATLAB scripts used for training classifier algorithms, trained pipelines, required toolboxes and labelled training datasets used in subsequent analyses.

本数据库为Tasseron等人（2022）的论文《迈向稳健的河流塑料检测：融合实验室与实地高光谱成像（hyperspectral imagery）》（已投稿且目前处于审稿阶段）的补充材料，其预印本可通过https://doi.org/10.31228/X5RW7V在线获取。本数据集包含原始图像、用于训练分类器算法的MATLAB脚本、已训练完成的处理流程、所需工具包，以及用于后续分析的标注训练数据集。

搜集汇总

背景与挑战

背景概述

该数据集为论文《Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery》的补充材料，包含用于河流塑料检测的高光谱图像和MATLAB脚本，支持分类算法训练和遥感分析。数据集包括原始图像、训练管道、工具箱和标记数据，适用于人工智能、环境科学和光学物理等领域的研究，并遵循CC BY 4.0许可协议。