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EXPLORING THE CONNECTIVITY OF ECOLOGICAL CORRIDORS BETWEEN LOW ELEVATION MOUNTAINS AND PINGTUNG LINHOUSILIN FOREST PARK OF TAIWAN BY LEAST-COST PATH METHOD
Linhousilin Forest Park Landscape ecology Least-cost path Gravity model
2016/11/30
The primary purpose of this study was explored the variation of landscape process and its impact on the possibility of ecological corridors on Pingtung Linhousilin Forest Park. Developing the landscap...
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...
Least Square Matching Model AMMGC-LSM for Multi-line-array Digital Images
Multi-line-array digital images Multi-image matching Qusi-epipolar lines
2015/11/23
Based on the investigation and comparing of available multi-image matching algorithms, a fresh multi-image matching algorithm model, AMMGC-LSM, which is appropriate for multi-line-array digital images...
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....
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
...
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 ...
ROBUST LEAST-SQUARES ADJUSTMENT BASED ORIENTATION AND AUTO-CALIBRATION OF WIDE-BASELINE IMAGE SEQUENCES
ADJUSTMENT BASED AUTO-CALIBRATION
2015/8/14
In this paper we propose a strategy for the orientation and auto-calibration of wide-baseline image sequences. Our
particular contribution lies in demonstrating, that by means of robust least-squares...
A space-time diffusion scheme for peer-to-peer least-squares estimation
distributed algorithms sensor networks least-squares estimation
2015/8/10
We consider a sensor network in which each sensor takes measurements, at various times, of some unknown parameters, corrupted by independent Gaussian noises. Each node can take a finite or infinite nu...
An interior point method for large-scale l1-regularized least squares
Sparse signal the compressed sensing signal processing statistics least squares procedure
2015/8/10
Recently, a lot of attention has been paid to l1 regularization based methods for sparse signal reconstruction (e.g., basis pursuit denoising and compressed sensing) and feature selection (e.g., the L...