دورية أكاديمية

Coordinate transformation parameters in Nepal by using neural network and SVD methods

التفاصيل البيبلوغرافية
العنوان: Coordinate transformation parameters in Nepal by using neural network and SVD methods
المؤلفون: Ansari Kutubuddin, Gyawali Prabin, Pradhan Prachand Man, Park Kwan-Dong
المصدر: Journal of Geodetic Science, Vol 9, Iss 1, Pp 22-28 (2019)
بيانات النشر: De Gruyter, 2019.
سنة النشر: 2019
المجموعة: LCC:Geodesy
مصطلحات موضوعية: coordinate transformation, everest datum, neural network, svd, Geodesy, QB275-343
الوصف: The present study computes B-W extension model (extended Bursa-Wolf model) coordinate transformation parameters from World Geodetic System 1984 (WGS-84) to the Everest datum namely Everest (1830) and Everest (1956) using records of coordinate measurements from Global Positioning System (GPS) observable across Nepal region. Synthetic or modeled coordinates were determined by using the Artificial Neural Network (ANN) and Singular Value Decomposition (SVD) methods. We studied 9-transformation parameters with the help of the ANN technique and validated the outcomes with the SVD method. The comparative analysis of the ANN, as well as SVD methods, was done with the observed output following one way ANOVA test. The analysis showed that the null hypothesis for both datums were acceptable and suggesting all models statistically significantly equivalent to each other. The outcomes from this study would complement a relatively better understanding of the techniques for coordinate transformation and precise coordinate assignment while assimilating data sets from different resources.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2081-9943
Relation: https://doaj.org/toc/2081-9943
DOI: 10.1515/jogs-2019-0003
URL الوصول: https://doaj.org/article/438c60d1493c4be085ccd62f810b4a0b
رقم الأكسشن: edsdoj.438c60d1493c4be085ccd62f810b4a0b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20819943
DOI:10.1515/jogs-2019-0003