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KERNEL FEATURE CROSS-CORRELATION FOR UNSUPERVISED QUANTIFICATION OF DAMAGE FROM WINDTHROW IN FORESTS
Feature matching Kernel normalized cross-correlation Forest Support Vector Machines
2016/11/23
In this study estimation of tree damage from a windthrow event using feature detection on RGB high resolution imagery is assessed. An accurate quantitative assessment of the damage in terms of volume ...
Cross-correlation of quality parameters of musts and wines enriched with lignans
hydroxymatairesinol (HMR) enrichment of must and wine correlations antioxidant activity total polyphenol concentration consumer acceptability
2016/2/23
Hydroxymatairesinol (HMR) is the main lignan found in spruce knots. This lignan has been used for enrichment of musts and wines. Quality parameters of these products have been studied for several year...
GRADIENT CROSS CORRELATION FOR SUB-PIXEL MATCHING
Correlation Matching Registration Fusion Multisensor
2015/12/31
Sub-pixel matching is one of the key components for image registration and image fusion. Ideally, image matching should allow for offsets in the target image, and for scaling and rotation. Offsets all...
Cross Correlation of Intra-day Stock Prices in Comparison to Random Matrix Theory
Principal Component Random Matrix Theory Cross Correlation Eigenvalues Stock Market
2013/1/28
We propose and apply a new algorithm of principal component analysis which is suitable for a large sized, highly random time series data, such as a set of stock prices in a stock market. This algorith...
Image Matching by Normalized Cross-Correlation
Image Matching Normalized Cross-Correlation
2010/12/16
Correlation is widely used as an effective similarity measure in matching tasks. However, traditional correlation based matching methods are limited to the short baseline case. In
this paper we propo...
Fast Normalized Neural Processors for Pattern Detection Based on Cross Correlation Implemented in the Frequency Domain
Fast Pattern Detection Neural Networks Cross Correlation Image Normalization
2014/3/12
Neural networks have shown good results for detecting a certain pattern in a given image. In this paper, fast neural networks for pattern detection are presented. Such neural processors are designed b...
A Model Based Upon the Cross-Correlation Function Between the Potential and Wave Functions for Disordered Solids
Cross-correlation function Schr6dinger wave functions disordered solids
2010/12/9
A formulation for the cross-correlation function between the potential and Schrödinger wave functions with respect to the spacing between consecutive atoms in an infinite one-dimensional disorder...