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搜索结果: 1-15 共查到Resampling相关记录18条 . 查询时间(0.057 秒)
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 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...
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       font style='font-size:12px;'> 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...
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       font style='font-size:12px;'> 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...
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...
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...
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 ...
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...
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...
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        font style='font-size:12px;'> 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...
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      Model selection  resampling penalization        font style='font-size:12px;'> 2010/4/26
Model selection by resampling penalization。

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