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20222024
most citedPositional Accuracy Assessment of Historical Google Earth Imagery

25 citations · 45 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim results

Chukwuma Okolie, Adedayo Adeleke, Julian Smit +3

Several methods have been proposed for correcting the elevation bias in digital elevation models (DEMs) for example, linear regression. Nowadays, supervised machine learning enable…

cs.LG2023★ 2 cited

Digital elevation model correction in urban areas using extreme gradient boosting, land cover and terrain parameters

Chukwuma Okolie, Jon Mills, Adedayo Adeleke +1

The accuracy of digital elevation models (DEMs) in urban areas is influenced by numerous factors including land cover and terrain irregularities. Moreover, building artifacts in gl…

stat.AP2022★ 6 cited

Quality Assessment of the 20m SPOT DEM in Nigeria

Peter Nwilo, Johanson Onyegbula, Chukwuma Okolie +3

The 20m SPOT DEM (Digital Elevation Model) was acquired by the Office of the Surveyor-General of the Federation (OSGoF) in Nigeria for use in topographic mapping. A localized asses…

cs.SI2022★ 8 cited

Computing Traffic Accident High-Risk Locations Using Graph Analytics

Iyke Maduako, Elijah Ebinne, Victus Uzodinma +2

Analysis of the dynamic relationship between traffic accident events and road network topology based on connectivity and graph analytics offers a new approach to identifying, ranki…

cs.CY2022★ 25 cited

Positional Accuracy Assessment of Historical Google Earth Imagery

Peter C. Nwilo., Chukwuma J. Okolie, Johanson C. Onyegbula +6

Google Earth is the most popular virtual globe in use today. Given its popularity and usefulness, most users do not pay close attention to the positional accuracy of the imagery, a…

cs.CV2022★ 4 cited

A systematic review and meta-analysis of Digital Elevation Model (DEM) fusion: pre-processing, methods and applications

Chukwuma Okolie, Julian Smit

The remote sensing community has identified data fusion as one of the key challenging topics of the 21st century. The subject of image fusion in two-dimensional (2D) space has been…