نتایج جستجو برای: clustering calibration method

تعداد نتایج: 1745240  

Sahifeh Poor Ramezani Kalashami Seyyed Javad Seyyed Mahdavi Chabok

Clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. K-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. In recent years, several algorithms are provided based on evolutionary algorithms for cluster...

2017
Mingjun Deng Guo Zhang Ruishan Zhao Shaoning Li Jiansong Li

The Chinese Gaofen-3 (GF-3) mission was launched in August 2016, equipped with a full polarimetric synthetic aperture radar (SAR) sensor in the C-band, with a resolution of up to 1 m. The absolute positioning accuracy of GF-3 is of great importance, and in-orbit geometric calibration is a key technology for improving absolute positioning accuracy. Conventional geometric calibration is used to a...

2013
Rachel Mandelbaum Anže Slosar Tobias Baldauf Uroš Seljak Christopher M. Hirata Reiko Nakajima Reinabelle Reyes Robert E. Smith

Recent studies have shown that the cross-correlation coefficient between galaxies and dark matter is very close to unity on scales outside a few virial radii of galaxy haloes, independent of the details of how galaxies populate dark matter haloes. This finding makes it possible to determine the dark matter clustering from measurements of galaxy–galaxy weak lensing and galaxy clustering. We pres...

M. B. Menhaj, M. Ghayekhloo

In order to provide an efficient conversion and utilization of solar power, solar radiation datashould be measured continuously and accurately over the long-term period. However, the measurement ofsolar radiation is not available to all countries in the world due to some technical and fiscal limitations. Hence,several studies were proposed in the literature to find mathematical and physical mod...

Mohammad Bagher Menhaj Tahereh Esmaeili Abharian

Knowing the fact that the main weakness of the most standard methods including k-means and hierarchical data clustering is their sensitivity to initialization and trapping to local minima, this paper proposes a modification of convex data clustering  in which there is no need to  be peculiar about how to select initial values. Due to properly converting the task of optimization to an equivalent...

Journal: :CoRR 2017
Stepan Tulyakov Anton Ivanov Nicolas Thomas Victoria Roloff Antoine Pommerol Gabriele Cremonese Thomas Weigel François Fleuret

There are many geometric calibration methods for “standard” cameras. These methods, however, cannot be used for the calibration of telescopes with large focal lengths and complex off-axis optics. Moreover, specialized calibration methods for the telescopes are scarce in literature. We describe the calibration method that we developed for the Colour and Stereo Surface Imaging System (CaSSIS) tel...

Journal: :Remote Sensing 2014
Zhengchao Chen Bing Zhang Hao Zhang Wenjuan Zhang

For on-orbit calibration of the Beijing-1 multispectral imagers (Beijing-1/MS), a field calibration campaign was performed at the Dunhuang calibration site during September and October of 2008. Based on the in situ data and images from Beijing-1 and Terra/Moderate Resolution Imaging Spectroradiometer (MODIS), three vicarious calibration methods (i.e., reflectance-based, irradiance-based, and cr...

Journal: :Industrial Robot 2015
Ahmed Joubair Long Fei Zhao Pascal Bigras Ilian A. Bonev

Purpose – The purpose of this paper is to describe a calibration method developed to improve the accuracy of a six degrees-of-freedom medical robot. The proposed calibration approach aims to enhance the robot’s accuracy in a specific target workspace. A comparison of five observability indices is also done in order to choose the most appropriate calibration robot configurations. Design/methodol...

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