Okan Bilge Özdemir

Orcid: 0000-0002-2829-3672

According to our database1, Okan Bilge Özdemir authored at least 12 papers between 2013 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
3D-CNN and Autoencoder-Based Gas Detection in Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Ground-Based Hyperspectral Image Surveillance System for Explosive Detection: Methods, Experiments, and Comparisons.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2020
Optimization and deep learning based multi model abundance estimation and unmixing algorithms for hyperspectral images (Hiperspektral görüntülerde optimizasyon ve derin öğrenme tabanlı çok modelli bolluk tahmini ve ayrıştırma algoritmaları)
PhD thesis, 2020

Neural Network Based Pavement Condition Assessment with Hyperspectral Images.
Remote. Sens., 2020

2016
Hyperspectral unmixing based vegetation detection with segmentation.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Signature based vegetation detection on hyperspectral images.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Analysis of land use land cover changes for an abandoned mine site.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Hyperspectral classification using stacked autoencoders with deep learning.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Improvement of hyperspectral classification accuracy with limited training data using meanshift segmentation.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

METU SPEL: Development af a New Spectral Signature Library for Food Products.
Proceedings of the Advances in Mass Data Analysis of Images and Signals in Medicine, 2014

2013
Improvements on hyperspectral classification algorithms.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

The effect of training data on hyperspectral classification algorithms.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013


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