Prof. Elhadi E. Adam Profile

Prof. Elhadi E. Adam

at Univ of the Witwatersrand Johannesburg

SPIE Involvement:

Editorial Board Member: Journal of Applied Remote Sensing | Author

Area of Expertise:

Hyperspectral Remote Sensing , Image Classification , Mapping and Monitoring Land Use/Cover Changes , Remote Sensing for Vegetation and Precision Agriculture , Machine Learning Methods for Remote Sensing data

Websites:

Company Website

Publications (4)

SPIE Journal Paper | 6 November 2014

Comparison between WorldView-2 and SPOT-5 images in mapping the bracken fern using the random forest algorithm

John Odindi, Elhadi Adam, Zinhle Ngubane, Onisimo Mutanga, Rob Slotow

JARS, Vol. 8, Issue 01, 083527, (November 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.083527

KEYWORDS: Vegetation, Image classification, Sensors, Associative arrays, Error analysis, Spectral resolution, Reflectivity, Data acquisition, Spatial resolution, Earth observing sensors

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SPIE Journal Paper | 19 November 2013

Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image

Samuel Adelabu, Onisimo Mutanga, Elhadi Adam, Moses Cho

JARS, Vol. 7, Issue 01, 073480, (November 2013) https://doi.org/10.1117/12.10.1117/1.JRS.7.073480

KEYWORDS: Machine learning, Curium, Sensors, Environmental sensing, Remote sensing, Vegetation, Image classification, Satellites, Associative arrays, Accuracy assessment

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Proceedings Article | 25 October 2012 Paper

A comparison of selected machine learning classifiers in mapping a South African heterogeneous coastal zone: Testing the utility of an object-based classification with WorldView-2 imagery

Elhadi M. Adam, Riyad Ismail, Onisimo Mutanga

Proceedings Volume 8538, 85380P (2012) https://doi.org/10.1117/12.978996

KEYWORDS: Image classification, Image segmentation, Machine learning, Sensors, Spatial resolution, Image analysis, Image processing algorithms and systems, Satellites, Ecosystems, Remote sensing

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Proceedings Article | 19 October 2012 Paper

Estimation of high density wetland biomass: combining regression model with vegetation index developed from Worldview-2 imagery

Elhadi M. Adam, Onisimo Mutanga

Proceedings Volume 8531, 85310V (2012) https://doi.org/10.1117/12.970469

KEYWORDS: Vegetation, Biological research, Near infrared, Sensors, Satellites, Calibration, Image analysis, Remote sensing, Spatial resolution, Ecosystems

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