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搜索结果: 1-15 共查到工学 least squares相关记录31条 . 查询时间(0.078 秒)
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...
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...
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...
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...
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...
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...
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...
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....
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 ...
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...
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...
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...
Statistical analysis is a widely used traditional technique for classification and discrimination in remotely sensed images, which supposes that there is only one endmember in an image pixel. Howeve...
The use of a square template in least squares image matching has been established as a well known and tested method. This paper suggests the use of an elliptical template as alternative to the squar...

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