Technical Validation data to support the quality of the HistologyHSI-GB dataset

A technical validation was accomplished to support the quality of the  HistologyHSI-GB  dataset. Linear hyperspectral sensor systems demonstrate analogous basis functions for both spectral sensitivity and spectral responsivity decomposition. The spectral responsivity pertains to the effectiveness of light detection concerning its frequency or wavelength. However, camera channels often exhibit varying sensitivity across different wavelengths due to the spectral responsivities of the detectors and the non-uniform output of diffractive or filtering elements. Proper characterization is essential for ensuring the reliability and accuracy of hyperspectral data analysis and interpretation.

为验证HistologyHSI-GB数据集的质量，本研究开展了一项技术验证工作。线性高光谱传感器系统（linear hyperspectral sensor system）在光谱灵敏度（spectral sensitivity）与光谱响应度分解（spectral responsivity decomposition）方面具备相似的基函数特性。光谱响应度（spectral responsivity）指的是光探测（light detection）针对对应频率或波长的有效程度。然而，由于探测器的光谱响应度存在差异，且衍射元件（diffractive element）与滤波元件（filtering element）的输出具有非均匀性，相机通道（camera channel）在不同波长下往往表现出不同的灵敏度。对系统进行恰当的特性表征，是保障高光谱数据分析与解译（hyperspectral data analysis and interpretation）的可靠性与准确性的必要前提。

搜集汇总

背景与挑战

背景概述

该数据集为HistologyHSI-GB数据集的技术验证数据，包含4个RAR文件，主要用于验证高光谱传感器系统的光谱响应性和灵敏度，确保高光谱数据分析的可靠性和准确性。数据集由西班牙政府和欧盟资助的项目支持，属于生物医学工程和图像处理领域。