Tesina realitzada en col.laboració amb Centre de Desenvolupament de Sensors, Instrumentació i SistemesThe quantitative assessment of the spectral estimation quality in multispectral imaging systems is an active field of research. The design and optimization of multispectral imaging systems are very dependent on how the cost function is selected. Several spectral estimation metrics have been used depending on the attribute it is intended to measure: visual matching, correlation of spectral curves or reduction of metamerism. The purpose of this project is to analyze various metrics that have been used for spectral matches and to show the appropriateness and weakness of each metric
Context: Spectral images (SI) contain spatial-spectral information about a scene arranging in a data...
Solar-spectrum, passive remote sensing sensors measure mainly the radiance reflected by the atmosphe...
This letter focuses on quality assessment of fusion of multispectral (MS) images with high-resolutio...
Abstract. The quantitative assessment of the spectral estimation quality in multispectral imaging sy...
This is an Open Access article. This is the publisher’s PDF originally published in Journal of the I...
Quantitative methods to assess or predict the quality of a spectral image continue to be the subject...
International audienceThe main contribution of this work lies in the context of the quality assessme...
Quantitative methods to assess or predict the quality of a spectral image are the subject of a numbe...
This paper presents a new evaluation method of the color estimation accuracy for a set of multispect...
This paper investigates the efficiency of spectral metrics when used in spectral screening of hypers...
Current image quality approaches are designed to assess the utility of single band images by trained...
Spectral imaging systems have been used for spectral measurements for several decades, mainly for s...
Multispectral and hyperspectral imaging can be powerful tools for analyzing and documenting works of...
The aim of this study is to work on the visual quality metrics that are widely accepted in literatur...
Recent developments in hyperspectral sensors allow us to obtain high spectral and spatial resolution...
Context: Spectral images (SI) contain spatial-spectral information about a scene arranging in a data...
Solar-spectrum, passive remote sensing sensors measure mainly the radiance reflected by the atmosphe...
This letter focuses on quality assessment of fusion of multispectral (MS) images with high-resolutio...
Abstract. The quantitative assessment of the spectral estimation quality in multispectral imaging sy...
This is an Open Access article. This is the publisher’s PDF originally published in Journal of the I...
Quantitative methods to assess or predict the quality of a spectral image continue to be the subject...
International audienceThe main contribution of this work lies in the context of the quality assessme...
Quantitative methods to assess or predict the quality of a spectral image are the subject of a numbe...
This paper presents a new evaluation method of the color estimation accuracy for a set of multispect...
This paper investigates the efficiency of spectral metrics when used in spectral screening of hypers...
Current image quality approaches are designed to assess the utility of single band images by trained...
Spectral imaging systems have been used for spectral measurements for several decades, mainly for s...
Multispectral and hyperspectral imaging can be powerful tools for analyzing and documenting works of...
The aim of this study is to work on the visual quality metrics that are widely accepted in literatur...
Recent developments in hyperspectral sensors allow us to obtain high spectral and spatial resolution...
Context: Spectral images (SI) contain spatial-spectral information about a scene arranging in a data...
Solar-spectrum, passive remote sensing sensors measure mainly the radiance reflected by the atmosphe...
This letter focuses on quality assessment of fusion of multispectral (MS) images with high-resolutio...