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Your search keyword '"Gulzar, Qudsia"' showing total 10 results
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10 results on '"Gulzar, Qudsia"'

4. Assessment of DSM Based on Radiometric Transformation of UAV Data

Author

Chaudhry, Muhammad Hamid, Ahmad, Anuar, Gulzar, Qudsia, Farid, Muhammad Shahid, Shahabi, Himan, and Al-Ansari, Nadhir

Subjects
tie points, Geoteknik, RAW image, UAV LIDAR, lcsh:TP1-1185, UAV image transformation, UAV drone, Geotechnical Engineering, lcsh:Chemical technology, Article, point cloud
Abstract

Unmanned Aerial Vehicle (UAV) is one of the latest technologies for high spatial resolution 3D modeling of the Earth. The objectives of this study are to assess low-cost UAV data using image radiometric transformation techniques and investigate its effects on global and local accuracy of the Digital Surface Model (DSM). This research uses UAV Light Detection and Ranging (LIDAR) data from 80 meters and UAV Drone data from 300 and 500 meters flying height. RAW UAV images acquired from 500 meters flying height are radiometrically transformed in Matrix Laboratory (MATLAB). UAV images from 300 meters flying height are processed for the generation of 3D point cloud and DSM in Pix4D Mapper. UAV LIDAR data are used for the acquisition of Ground Control Points (GCP) and accuracy assessment of UAV Image data products. Accuracy of enhanced DSM with DSM generated from 300 meters flight height were analyzed for point cloud number, density and distribution. Root Mean Square Error (RMSE) value of Z is enhanced from ±2.15 meters to 0.11 meters. For local accuracy assessment of DSM, four different types of land covers are statistically compared with UAV LIDAR resulting in compatibility of enhancement technique with UAV LIDAR accuracy. Validerad;2021;Nivå 2;2021-03-01 (johcin)

Published
2021

10. Spatio-temporal Network-Constrained Trajectory Data Model and Service Reliability Assessment.

Author

Khalid, Muhammad Burhan, Haris, Muhammad, Gulzar, Qudsia, Ch, Muhammad Hamid, and Samad, Nida

Subjects
TRAFFIC density, PUBLIC transit, GLOBAL Positioning System, DATA scrubbing
Abstract

Due to urbanization and increase in traffic density, provision of efficient public transport facility is a major component of planning and development. The spatio-temporal data of vehicles’ movement have mainly led to mobility pattern analysis, which eventually reveal new information about the efficiency of transport service. This research focuses on extracting mobility patterns of bus service for students in Lahore City. Trajectory data collected through GPS survey have been processed by using MYSQL spatial database applications and HTML to identify areas in entire route of bus service causing delay. Three different types of delay have been calculated, namely stop delay, simple path delay, and path repeated delay. The entire analysis results reveal that mainly the delay is caused at start segments of planned route or the last segment of stop route. The major cause of delay is bus movement on tertiary roads through congested commercial areas. [ABSTRACT FROM AUTHOR]

Published
2018
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