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Remote sensing

Multispectral and hyperspectral satellite and aerial image processing and analysis

Subpixel analysis of hyperspectral remote sensing images

A. Muhammad Akhter, “Subpixel analysis of hyperspectral remote sensing images”, 2016.

An efficient method for water content estimation of building materials from spectral reflectance

B. Koirala and Scheunders, P., “An efficient method for water content estimation of building materials from spectral reflectance”, NDT & E International, vol. 147, p. 103214, 2024.

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Nonlinear Spectral Unmixing Using Bézier Surfaces

B. Koirala, Rasti, B., Bnoulkacem, Z., and Scheunders, P., “Nonlinear Spectral Unmixing Using Bézier Surfaces”, IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024.

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A Supervised Approach for Estimating Fractional Abundances of Binary Intimate Mixtures

B. Koirala, Rasti, B., and Scheunders, P., “A Supervised Approach for Estimating Fractional Abundances of Binary Intimate Mixtures”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1-11, 2024.

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Analysis of hyperspectral images for high-throughput plant phenotyping

S. Mohd. Asaari, “Analysis of hyperspectral images for high-throughput plant phenotyping ”, 2019.

Development of advanced hyperspectral unmixing methods

B. Koirala, “ Development of advanced hyperspectral unmixing methods ”, 2020.

Hyperspectral image mixture analysis using notions of sparsity, nonlinearity and decision fusion

V. Andrejchenko, “Hyperspectral image mixture analysis using notions of sparsity, nonlinearity and decision fusion ”, 2020.

Hyperspectral imaging for automated inspection of offshore wind infrastructure

T. De Kerf, “Hyperspectral imaging for automated inspection of offshore wind infrastructure”, 2023.

Unsupervised machine/deep learning mapping (clustering) for single/multi-source remote sensing data

K. Rafiezadeh Shahi, “Unsupervised machine/deep learning mapping (clustering) for single/multi-source remote sensing data ”, 2023.

Corrosion detection using hyperspectral VNIR and SWIR imaging for drone-based inspection of electrical pylons

Z. Bnoulkacem, Vlaminck, M., Morocho, G. Raimundo L., Zivariadab, H., Zahiri, Z., Koirala, B., Platisa, L., Luong, H., Scheunders, P., Mangialetto, F., and Bufi, I., “Corrosion detection using hyperspectral VNIR and SWIR imaging for drone-based inspection of electrical pylons”, in EUROCORR 2023, European Corrosion Congress, Proceedings, 2023, p. 2.

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exhibit_17_corrosion_detection_using_hyperspectral_vnir_and_swir_imaging.pdf

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