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RELATIVE ORIENTATION AND MODIFIED PIECEWISE EPIPOLAR RESAMPLING FOR HIGH RESOLUTION SATELLITE IMAGES
High Resolution Satellite Images Relative Orientation Epipolar Resampling Rational Polynomial Coefficients
2017/7/13
High resolution, optical satellite sensors are boosted to a new era in the last few years, because satellite stereo images at half meter or even 30cm resolution are available. Nowadays, high resolutio...
Rectification of Digital Close Range Images: Sensor Models, Geometric Image Transformations and Resampling
Resampling Rectification Image Restoration
2015/12/14
Rectification may be considered as the transformation process of digital images carried out to obtain distortion free versions of the
images. Transformation parameters are obtained by using ground co...
QUASI-EPIPOLAR RESAMPLING OF HIGH RESOLUTION SATELLITE STEREO IMAGERY FOR SEMI GLOBAL MATCHING
Epipolar resampling SGM High resolution satellite stereo images Small image tiles
2016/1/18
Semi-global matching is a well-known stereo matching algorithm in photogrammetric and computer vision society. Epipolar images are supposed as input of this algorithm. Epipolar geometry of linear arra...
INVESTIGATION OF RESAMPLING EFFECTS ON IRS-1D PAN DATA
Resampling Geometric rectification Edge detection
2015/8/28
Image resampling is frequently employed in geometric correction as a part of preprocessing of a remotely sensed image. The
resampled images will have a noticeable change in image quality, which may h...
Correlation analysis for proportions via updating and 2 resampling
closure data independence for proportions
2015/8/20
Compositional data arise frequently in practice, but their statistical
8 analysis is not yet well developed. Compositions arise when nonnegative random vectors are mapped into the unit simplex via a
...
3D RESAMPLING FOR AIRBORNE LASER DATA OF URBAN AREAS
laser scanning urban areas irregular sampling DEM
2015/3/24
We consider the problem of resampling for the data obtained by laser scanning on an irregular grid. The data obtained by
airborne laser scanning are scattered, and the resampling on a regular grid is...
Testing the equality of several independent binomial proportions based on asymptotic and resampling method
Monte Carlo method Bootstrap method Likelihood test Score test Wald test Binomial distribution
2011/11/7
This paper discusses equality test of proportions in k (k≥2) independent binomial distributions on the basis of likelihood-ratio, score and Wald-type statistics via asymptotic, MaxT, MinP and Step-dow...
Neural network rainfall-runoff forecasting based on continuous resampling
Neural network rainfall-runoff forecasting continuous resampling
2009/12/4
Most neural network hydrological modelling has used split-sample validation to ensure good out-of-sample generalisation and thus safeguard each potential solution against the danger of overfitting. Ho...
Model selection by resampling penalization
Non-parametric statistics resampling exchangeable weighted bootstrap model selection penalization non-parametric regression
2009/9/16
In this paper, a new family of resampling-based penalization procedures for model selection is defined in a general framework. It generalizes several methods, including Efron's bootstrap penalization ...
Simulation of extreme precipitation in the Rhine basin by nearest-neighbour resampling
Rhine nonparametric nearest-neighbour resampling technique
2009/6/5
The use of the nonparametric nearest-neighbour resampling technique is studied for generating time series of daily rainfall and temperature for seven stations in the German part of the Rhine basin. Th...
The construction of confidence intervals for frequency analysis using resampling techniques: a supplementary note
Bootstrap Jack-knife frequency analysis maximum likelihood method maximum product of spacings method
2009/3/11
In a recent contribution, Hall et al. (2004) examined the use of the Bootstrap resampling technique as a means of constructing confidence limits for the quantiles of the (two-parameter) Gumbel and the...
The construction of confidence intervals for frequency analysis using resampling techniques
Bootstrap Jack-knife frequency analysis maximum likelihood method maximum product of spacings method
2009/3/5
Resampling techniques such as the Bootstrap and the Jack-knife are generic methods for the estimation of uncertainties in statistics. When applied in frequency analysis, resampling techniques can prov...
Face Detection Based on the Example Resampling by Manifold
Face Detection the Example Resampling
2010/12/16
As a large-scale database of hundreds of thousands of face images collected from the Internet and digital cameras becomes available, how to utilize it to train a well-performed face
detector is a qui...
ON THE CONDITION FOR CONSISTENCY OF RESAMPLING ESTIMATORS OF VARIANCE OF TRIMMED L-STATISTICS
L-statistics bootstrap random weighting
2007/8/7
In this paper, a counter-example is presented to show that conditions given by[1] and [2] are not enough to guarantee the consistency of resampling estimators of varianceof trimmed L-statistics. To th...
Model selection by resampling penalization。