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AN ENHANCED ALGORITHM FOR AUTOMATIC RADIOMETRIC HARMONIZATION OF HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY USING PSEUDOINVARIANT FEATURES AND LINEAR REGRESSION
Radiometric Harmonization Pseudo-Invariant Features Sentinel-2 Remote Sensing Copernicus GIO HRL Forest
2017/7/12
The growing number of available optical remote sensing data providing large spatial and temporal coverage enables the coherent and gapless observation of the earth’s surface on the scale of whole coun...
MODELLING THE RELATIONSHIP BETWEEN LAND SURFACE TEMPERATURE AND LANDSCAPE PATTERNS OF LAND USE LAND COVER CLASSIFICATION USING MULTI LINEAR REGRESSION MODELS
Land Surface Temperature Land Use Land Cover Multiple Linear Regression LiDAR Spatial Metrics
2016/12/1
The threat of the ailments related to urbanization like heat stress is very prevalent. There are a lot of things that can be done to lessen the effect of urbanization to the surface temperature of the...
ESTIMATING DBH OF TREES EMPLOYING MULTIPLE LINEAR REGRESSION OF THE BEST LIDAR-DERIVED PARAMETER COMBINATION AUTOMATED IN PYTHON IN A NATURAL BROADLEAF FOREST IN THE PHILIPPINES
DBH Estimation ALS Multiple Linear Regression Python Broadleaf Forest Forestry
2016/11/30
Diameter-at-Breast-Height Estimation is a prerequisite in various allometric equations estimating important forestry indices like stem volume, basal area, biomass and carbon stock. LiDAR Technology ha...
Abstract—The linear regression model is a very attractive toolto design effective image interpolation schemes. Some regression-based imageinterpolation algorithms have been proposedin the literature, ...
JOINT LEARNING FOR SIDE INFORMATION AND CORRELATION MODEL BASED ON LINEAR REGRESSION MODEL IN DISTRIBUTED VIDEO CODING
Side information correlation model linear regression model joint learning distributed video coding
2013/7/16
The coding efficiency of distributed video coding system is significantly determined by the side information quality and correlation model. Motivated by theoretical analysis of the maximum likelihood ...
Linear Regression Model of the Ash Mass Fraction and Electrical Conductivity for Slovenian Honey
honey ash electrical conductivity
2009/2/19
Mass fraction of ash is a quality criterion for determining the botanical origin of honey. At present, this parameter is generally being replaced by the measurement of electrical conductivity (κ). The...
The Prediction of Cotton Ring Yarn Properties from AFIS Fibre Properties by Using Linear Regression Models
cotton yarn cotton fibre AFIS ring spinning regression analysis
2009/2/16
In this paper some models for predicting the most important ring yarn quality characteristics were built by using AFIS (Advanced Fibre Information System) data. Yarn count, twist and roving properties...
The Prediction of Elongation and Recovery of Woven Bi-Stretch Fabric Using Artificial Neural Network and Linear Regression Models
woven fabric elongation recovery artificial neural network
2009/2/11
Stretch woven fabrics are widely used because of their good elongation and recovery (residual extension) properties. Several parameters and test method are used to measure the properties of these fabr...
Joint Learning for Side Information and Correlation Model based on Linear Regression Model in Distributed Video Coding
Side Information Correlation Model Linear Regression Model Distributed Video Coding
2010/12/20
The coding efficiency of distributed video coding system is significantly determined by the side information quality and correlation model. Motivated by theoretical analysis of the
maximum likelihood...
Locally Linear Regression for Pose Invariant Face Recognition
Locally Linear Regression Pose Invariant Face Recognition
2010/12/16
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably,which is one of the bottlenecks in face recognition. One of the
possible solutions is ge...
Local Linear Regression (LLR) for Pose Invariant Face Recognition
Local Linear Regression Pose Invariant Face Recognition
2010/12/16
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. One of the possible s...
Selection of Aroma Components to Predict Sensory Quality of Kenyan Black Teas Using a Genetic Algorithm for Multiple Linear Regression Models
black tea aroma genetic algorithm multiple regression analysis
2010/11/22
A genetic algorithm (GA) was applied to optimizing sets of aroma components in black teas for calculating multiple linear regression (MLR) models to predict sensory scores. Selections of components we...