Akpona Okujeni

Orcid: 0000-0003-4558-5885

According to our database1, Akpona Okujeni authored at least 15 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
EnMAP-Box: Imaging spectroscopy in QGIS.
SoftwareX, July, 2023

2021
Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2019
Comparing map-based and library-based training approaches for urban land-cover fraction mapping from Sentinel-2 imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2017
Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover.
Remote. Sens., 2017

Influence of neighbourhood information on 'Local Climate Zone' mapping in heterogeneous cities.
Int. J. Appl. Earth Obs. Geoinformation, 2017

Thermal evaluation of the local climate zone scheme in Belgium.
Proceedings of the Joint Urban Remote Sensing Event, 2017

Optimizing mixed spectra generation for regression-based unmixing of land cover in urban areas.
Proceedings of the Joint Urban Remote Sensing Event, 2017

2015
Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data.
Remote. Sens., 2015

The EnMAP-Box - A Toolbox and Application Programming Interface for EnMAP Data Processing.
Remote. Sens., 2015

Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP.
Remote. Sens., 2015

2014
A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover.
Remote. Sens., 2014

Import Vector Machines for Quantitative Analysis of Hyperspectral Data.
IEEE Geosci. Remote. Sens. Lett., 2014

On the use of collaborative sparse regression in hyperspectral unmixing chains.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014


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