Comparative Study of Metrics for Spectral Match Quality
نویسندگان
چکیده
The selection of metrics for spectral matches is fundamental to MVSI (multi-channel visible-spectrum imaging) otherwise known as spectral imaging. The metrics used for spectral matches can impact everything from the selection of the filters used for multi-channel capture to the evaluation of the spectral estimation. However, there is, as yet, no consensus on which metric should be applied for spectral matches. The purpose of this research is to compare various metrics that have been used for spectral matches. The metrics for spectral comparison were categorized in four classes: CIE color difference equations, spectral curves difference metrics, metamerism indices and weighted spectral metrics. Here we show an analysis of the appropriateness and weakness of each metric. We compare their use for various types of spectral mismatches resulting from problems in imaging calibration, out-of-gamut colors and those due to metamerism.
منابع مشابه
H-COMP: A Tool for Quantitative and Comparative Analysis of Endmember Identification Algorithms
Over the past years, several endmember extraction algorithms have been developed for spectral mixture analysis of hyperspectral data. Due to a lack of quantitative approaches to substantiate new algorithms, available methods have not been rigorously compared using a unified scheme. In this paper, we describe H-COMP, an IDL (Interactive Data Language)-based software toolkit for visualization and...
متن کاملWater Quality Restoration Using Landscape Metrics Analysis: A Case Study in the Golestan Province of Iran
Abstract The results of an integrated study aimed at restoring water quality in a large watershed including seven catchments in north east Iran are presented in this paper. This case study demonstrates how landscape metrics reflect direct or surrogate causes of the land use practices that are the determinants of water quality parameters. Water quality factors included EC, pH, Cl-1, HCO3-1, SO4-...
متن کاملRepresenting Spectral data using LabPQR color space in comparison to PCA method
In many applications of color technology such as spectral color reproduction it is of interest to represent the spectral data with lower dimensions than spectral space’s dimensions. It is more than half of a century that Principal Component Analysis PCA method has been applied to find the number of independent basis vectors of spectral dataset and representing spectral reflectance with lower di...
متن کاملMetrics for Evaluating Spectral Matches: A Quantitative Comparison
Several of the spectral match metrics considered by Imai, et al., are compared for a large number of non-metameric pairs of spectra in order to assess how accurately they track human perception as predicted by CIELAB (i.e., the extent to which the metric will exhibit a proportional relationship with CIELAB total color difference), and how precisely they do so (i.e., the relative compactness of ...
متن کاملComparison between Water Quality Index (WQI) and biological indices, based on planktonic diatom for water quality assessment in the Dong Nai River, Vietnam
The present study aims to have a comparative study of the results, from biological monitoring as well as conventional method, based on physico-chemical variables. Water quality index (WQI) and planktonic diatom metrics have been used to determine water quality and ecological conditions of the Dong Nai River (DNR) and Canonical Correspondence Analysis (CCA) to find out the main environmental var...
متن کامل