Results 1 to 10 of about 7,268,324 (253)

The Performance of Different Mapping Functions and Gradient Models in the Determination of Slant Tropospheric Delay

Remote Sensing, 2020
Global navigation satellite systems (GNSSs) have become an important tool for remotely sensing water vapor in the atmosphere. In GNSS data processing, mapping functions and gradient models are needed to map the zenith tropospheric delay (ZTD) to the ...
Cong Qiu, Xiaoming Wang, Zishen Li, Shaotian Zhang, Haobo Li, Jinglei Zhang, Hong Yuan   +6 more
doaj   +3 more sources

An Enhanced Mapping Function with Ionospheric Varying Height

Remote Sensing, 2019
Mapping function (MF) converts the line-of-sight slant total electron content (STEC) into the vertical total electron content (VTEC), and vice versa. In an MF, an essential parameter is the ionospheric effective height.
Yan Xiang, Yang Gao
doaj   +3 more sources

WTM: The Site-Wise Empirical Wuhan University Tropospheric Model

Remote Sensing, 2022
The tropospheric model is the key model in space geodetic techniques such as Global Navigation Satellite Systems (GNSS) and Very Long Baseline Interferometry (VLBI).
Yaozong Zhou, Yidong Lou, Weixing Zhang, Peida Wu, Jingna Bai, Zhenyi Zhang   +5 more
doaj   +1 more source

A New Method to Determine the Optimal Thin Layer Ionospheric Height and Its Application in the Polar Regions

Remote Sensing, 2021
The conversion between the line-of-sight slant total electron content (STEC) and the vertical total electron content (VTEC) depends on the mapping function (MF) under the widely used thin layer ionospheric model.
Hu Jiang, Shuanggen Jin, Manuel Hernández-Pajares, Hui Xi, Jiachun An, Zemin Wang, Xueyong Xu, Houxuan Yan   +7 more
doaj   +1 more source

Three Dual-Frequency Precise Point Positioning Models for the Ionospheric Modeling and Satellite Pseudorange Observable-Specific Signal Bias Estimation

Remote Sensing, 2021
Global Navigation Satellite System (GNSS) Precise Point Positioning (PPP) enables the estimation the ionospheric vertical total electron content (VTEC) as well as the by-product of the satellite Pseudorange observable-specific signal bias (OSB).
Ke Su, Shuanggen Jin
doaj   +1 more source

Development of a Camera Self-calibration Method for 10-parameter Mapping Function

한국해양공학회지, 2021
Tomographic particle image velocimetry (PIV) is a widely used method that measures a three-dimensional (3D) flow field by reconstructing camera images into voxel images.
Sung-Min Park, Dae-Kyeong Kong, Kwang-il Hwang, Deog-Hee Doh, Gyeong-Rae Cho   +4 more
doaj   +1 more source

TMF: A GNSS Tropospheric Mapping Function for the Asymmetrical Neutral Atmosphere

Remote Sensing, 2021
Tropospheric mapping function plays a vital role in the high precision Global Navigation Satellites Systems (GNSS) data processing for positioning.
Di Zhang, Jiming Guo, Tianye Fang, Na Wei, Wensheng Mei, Lv Zhou, Fei Yang, Yinzhi Zhao   +7 more
doaj   +1 more source

Mapping of the World Health Organization's Disability Assessment Schedule 2.0 to disability weights using the Multi‐Country Survey Study on Health and Responsiveness

International Journal of Methods in Psychiatric Research, 2021
Objectives To develop and test an internationally applicable mapping function for converting WHODAS‐2.0 scores to disability weights, thereby enabling WHODAS‐2.0 to be used in cost‐utility analyses and sectoral decision‐making.
Joran Lokkerbol, Ben F. M. Wijnen, Somnath Chatterji, Ronald C. Kessler, Dan Chisholm   +4 more
doaj   +1 more source

CLARITY: a Shiny app for interactive visualisation of the bovine physical-genetic map

Frontiers in Genetics, 2023
The arrangement of markers on the genome can be defined in either physical or linkage terms. While a physical map represents the inter-marker distances in base pairs, a genetic (or linkage) map pictures the recombination rate between pairs of markers ...
Nina Melzer, Saber Qanbari, Xi Ding, Dörte Wittenburg   +3 more
doaj   +1 more source

Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning

IEEE Access, 2021
Semi-supervised domain adaptation (SSDA) is a promising technique for various applications. It can transfer knowledge learned from a source domain having high-density labeled samples to a target domain having limited labeled samples.
Ba Hung Ngo, Jae Hyeon Park, So Jeong Park, Sung In Cho   +3 more
doaj   +1 more source