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ON VOLUME DATA REDUCTION FOR LIDAR DATASETS
LiDAR Redundancy Q-tree Big Data Problem Topography DTM
2018/11/9
This paper discusses a current issue for several experimental science disciplines, which is the Big Data Problem (BDP). This research study focused on light intensity and ranging (LiDAR) datasets, whi...
LIDAR Data Reduction for Efficient and High Quality DEM Generation
LiDAR Laser Scanning DEM Interpolation Catchment Data Reduction
2015/12/8
Airborne Light Detection and Ranging (LiDAR) - also referred to as Airborne Laser Scanning (ALS), provides means for high density and high accuracy topographic data acquisition. LiDAR data have become...
AzTEC Millimetre Survey of the COSMOS Field: I. Data Reduction and Source Catalogue
starburst submillimetre
2014/12/23
We present a 1.1 mm wavelength imaging survey covering 0.3 deg2 in the COSMOS field. These data, obtained with the AzTEC continuum camera on the James Clerk Maxwell Telescope, were centred on a promin...
The Bolocam Galactic Plane Survey: Survey Description and Data Reduction
methods data analysis surveys ISM clouds submillimeter ter
2010/11/10
We present the Bolocam Galactic Plane Survey (BGPS), a 1.1 mm continuum survey at 3300 e ective resolution of 170 square degrees of the Galactic Plane visible from the northern hemisphere.The BGPS is ...
An optical/NIR survey of globular clusters in early-type galaxies. I. Introduction and data reduction procedures
Cosmology and Extragalactic Astrophysics (astro-ph.CO)
2010/12/24
The combination of optical and near-infrared (NIR) colours has the potential to break the age/metallicity degeneracy and offers a better metallicity sensitivity than optical colours alone.
Methods explained:Data reduction and model selection techniques
Methods explained Data reduction model selection techniques
2009/11/4
Researchers and analysts now have access to increasingly large data sets. This article outlines some of the problems of dealing with a large number of variables and explains some of the techniques tha...
基于非均匀细分的散乱点云数据精简算法（Algorithm of Scattered Point Cloud Data Reduction Based on Non-uniform Subdivision）
逆向工程 散乱点云 非均匀细分
2009/9/25
针对海量散乱点云数据精简问题，提出了基于非均匀细分的精简算法。采用八叉树结构对点云数据进行空间分割，由分割结果建立k邻域。对k邻域内的散乱点进行二次曲面拟合，以拟合曲面的平均曲率为判据决定是否对八叉树空间实行非均匀细分，细分过程中由数据点之间的最大间隔角决定细分程度。构造曲率差函数，识别出边界数据点，对其进行数据保护。该算法对具有曲率多样化特点的点云数据的精简具有实用性，通过实验验证了该算法的可靠...
Data Reduction Pipeline for EMIR, the near-ir multi-object spectrograph for GTC
EMIR GTC near-ir multi-object spectrograph
2009/7/1
Data Reduction Pipeline for EMIR, the near-ir multi-object spectrograph for GTC。
EMIR Data Reduction Pipeline。
A New Approach in Data Reduction：Proper Handling of Random Errors and Image Distortions
METHODS ANALYTICAL METHODS STATISTICAL Image Distortions
2009/6/11
A New Approach in Data Reduction：Proper Handling of Random Errors and Image Distortions。
Analysis and interpretation of dynamic FDG PET oncological studies using data reduction techniques
dynamic FDG PET oncological studies data reduction techniques
2010/2/25
We have applied principal component analysis to provide high-contrast parametric image sets of lower dimensions than the original data set separating structures based on their kinetic characteristics....
The k-nearest neighbours (kNN) is a simple but effective method for classification. Its major drawbacks are (1) low efficiency, and (2) dependency on the selection of a “good value” for k. In this pap...