Quality Metrics for Spectral Estimation
نویسندگان
چکیده
The 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.
منابع مشابه
Comparative Study of Metrics for Spectral Match Quality
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 s...
متن کاملComparisons between spectral quality metrics and analyst performance in hyperspectral target detection
Quantitative methods to assess or predict the quality of a spectral image continue to be the subject of a number of current research activities. An accepted methodology would be highly desirable for use in data collection tasking or data archive searching in ways analogous to the current prediction of panchromatic image quality through the National Imagery Interpretation Rating Scale (NIIRS) us...
متن کاملDistributed multichannel speech enhancement with minimum mean-square error short-time spectral amplitude, log-spectral amplitude, and spectral phase estimation
In this paper, the authors present optimal multichannel frequency domain estimators for minimum mean-square error (MMSE) short-time spectral amplitude (STSA), log-spectral amplitude (LSA), and spectral phase estimation in a widely distributed microphone configuration. The estimators utilize Rayleigh and Gaussian statistical models for the speech prior and noise likelihood with a diffuse noise f...
متن کاملWater Quality Index Estimation Model for Aquaculture System Using Artificial Neural Network
Water Quality plays an important role in attaining a sustainable aquaculture system, its cumulative effect can make or mar the entire system. The amount of dissolved oxygen (DO) alongside other parameters such as temperature, pH, alkalinity and conductivity are often used to estimate the water quality index (WQI) in aquaculture. There exist different approaches for the estimation of the quality...
متن کاملSPOT-5 Spectral and Textural Data Fusion for Forest Mean Age and Height Estimation
Precise estimation of the forest structural parameters supports decision makers for sustainable management of the forests. Moreover, timber volume estimation and consequently the economic value of a forest can be derived based on the structural parameter quantization. Mean age and height of the trees are two important parameters for estimating the productivity of the plantations. This research ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010