搜索结果: 1-15 共查到“Least Squares”相关记录106条 . 查询时间(0.062 秒)
Comparison of partial least squares-discriminant analysis, support vector machines and deep neural networks for spectrometric classification of seed vigour in a broad range of tree species
least squares-discriminant analysis spectrometric classification seed tree species
2023/6/5
Range Image Sequence Analysis by 2.5-D Least-Squares-Tracking with Variance Component Estimation and Robust Variance Covariance Matrix Estimation
Range Imaging Least Squares Tracking Variance Component Estimation
2015/12/17
In this article, a range image sequence tracking approach is proposed, which combines 3-D camera intensity and range observations
in an integrated geometric transformation model. Based on 2-D least s...
ACCURACY IMPROVEMENT BY THE LEAST SQUARES IMAGE MATCHING EVALUATED ON THE CARTOSAT-1
DEM Accuracy Improvement LSM Parallel Projection Geometry
2016/1/15
Generating accurate elevation data from satellite images is a prerequisite step for applications that involve disaster forecasting and management using GIS platforms. In this respect, the high resolut...
Least Squares Matching with Airborne LIDAR Data for Strip Adjustment
Least squares matching (LSM) Airborne LIDAR Multi-strip matching
2015/12/8
Matching is of great importance in photogrammetry and remote sensing and it is applied in many areas such as registration、DEM generation and so on. As a new type of airborne remote sensing sensor, Air...
Surface Reconstruction via Total Least-Squares Adjustment of the Semi-Variogram
Surface reconstruction Kriging Semi-variogram TLS
2015/12/8
One well established technique to construct a surface that best fits to an observed scattered point cloud is based on the Kriging methodology that uses semi-variograms. It somewhat resembles least-squ...
Performing Space Resection Using Total Least Squares
total least squares space resection exterior orientation elements least squares
2015/12/8
In space resection computing,the error equations are based on the collinearity equations. Because the coordinates of the ground point and the image point all exist errors. So we use the Total Least Sq...
A Multi-Photo Least Squares Matching Algorithm for Urban Area DEM Refinement Using Breaklines
DEM least squares adjustment least squares matching breaklines occlusion
2015/12/4
High quality digital elevation models (DEMs) are required for a large number of urban applications such as; telecommunication, urban development, and city planning and management. Sudden changes in su...
Partial Least Squares Regression Based Cellular Automata Model for Simulating Complex Urban Systems
Partial Least Squares Regression Cellular Automata GIS Urban Simulation
2015/12/1
A Cellular Automata model based on Partial Least Squares Approaches is proposed for simulating complex urban systems. The core part of Geo-CA model is the transition rules and a mass of independent sp...
GENERALIZED LEAST SQUARES MULTIPLE 3D SURFACE MATCHING
Surface matching co-registration multiple surfaces 3D surface pointcloud georeferencing
2015/11/10
A method for the simultaneous co-registration and georeferencing of multiple 3D pointclouds and associated intensity information is proposed. It is a generalization of the 3D surface matching problem....
Maximum entropy estimation of values at Mt. Etna: comparison with conventional least squares and maximum likelihood results and correlation with volcanic activity
frequency-magnitude distribution maximim entropy method Mt. Etna
2015/10/8
The variations of the b coefficient in the frequency-magnitude relationship for earthquakes which occurred at Mt. Etna from 01/01/90 to 31/12/92 are analyzed; the completeness threshold for our earthq...
A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances
Spatial autoregressive model two-stage least squares generalized moments estimation
2015/9/24
Cross-sectional spatial models frequently contain a spatial lag of the dependent variable as a regressor or a disturbance term that is spatially autoregressive. In this article we describe a computati...
Maximum likelihood and generalized spatial two-stage least-squares estimators for a spatial-autoregressive model with spatial-autoregressive disturbances
spreg spatial-autoregressive models
2015/9/24
We describe the spreg command, which implements a maximum
likelihood estimator and a generalized spatial two-stage least-squares estimator
for the parameters of a linear cross-sectional spatial-auto...
Difference in Difference Meets Generalized Least Squares: Higher Order Properties of Hypotheses Tests
panel data treatment eff ect GLS
2015/9/22
We investigate estimation and inference in difference in difference econometric models
used in the analysis of treatment effects. When the innovations in such models display serial
...
A technical note on the bias in the estimation of the b-value and its uncertainty through the Least Squares technique
b-value Seismology Least Squares technique Synthetic-earthquake catalogs
2015/9/2
We investigate conceptually,
analytically, and numerically the biases in the estimation of the
b-value of the Gutenberg-Richter law and of
its uncertainty made through the least
squares technique...
First-order moving least-squares are typically used in conjunction with smoothed particle hydrodynamics in the form of post-processing filters for density fields, to smooth out noise that develops in ...