Bikram Koirala
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Contact
Dr.
Bikram
Koirala
Email:
bikram dot koirala at uantwerpen.be
Address:
Vision Lab
University of Antwerp (CDE)
Universiteitsplein 1 (N Building)
B-2610 Antwerp, Belgium
Fax:
+32 (0) 3 265 22 45
Personal
Biography:
Bikram Koirala (Member, IEEE) received his Ph.D. in 2021 from the University of Antwerp, Belgium, with a dissertation entitled "Development of Advanced Hyperspectral Unmixing Methods." He is currently a Postdoctoral Researcher funded by the Research Foundation – Flanders (FWO). His research interests include machine learning, deep learning, radiative transfer modeling, and hyperspectral image processing.
Research
Hyperspectral Unmixing
Machine Learning/ Deep Learning
Computer Vision/ Photogrammetry and Remote sensing
Geographical Information System
Graph Theory
Geomatics
Radiative transfer modeling
Key publications:
, “An efficient method for water content estimation of building materials from spectral reflectance”, NDT & E International, vol. 147, p. 103214, 2024.
Download paper (7.21 MB)
, “Nonlinear Spectral Unmixing Using Bézier Surfaces”, IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024.
Download paper (9.66 MB)
, “A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures”, IEEE Sensors Journal, 2023.
a_multisensor_hyperspectral_benchmark_dataset_for_unmixing_of_intimate_mixtures_1_.pdf (22.13 MB)
, “HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022.
hapkecnnrg.pdf (8.23 MB)
, “MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022.
misicnet_ieee_tgrs_author_version.pdf (5.52 MB)
, “A Robust Supervised Method for Estimating Soil Moisture Content From Spectral Reflectance”, IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1-13, 2022.
soil_moisture_content.pdf (7.95 MB)
, “Hyperspectral Unmixing Using Transformer Network”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.
transformer_unmixing.pdf (6.32 MB)

