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Remote sensing

Multispectral and hyperspectral satellite and aerial image processing and analysis

Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms

T. Hu, Li, W., Liu, N., Tao, R., Zhang, F., and Scheunders, P., “Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms”, IEEE Transactions on Geoscience and Remote Sensing, pp. 1-18, 2020.

How Hyperspectral Image Unmixing and Denoising Can Boost Each Other

B. Rasti, Koirala, B., Scheunders, P., and Ghamisi, P., “How Hyperspectral Image Unmixing and Denoising Can Boost Each Other”, Remote Sensing, vol. 12, 2020.

A Machine Learning Framework for Estimating Leaf Biochemical Parameters From Its Spectral Reflectance and Transmission Measurements

B. Koirala, Zahiri, Z., and Scheunders, P., “A Machine Learning Framework for Estimating Leaf Biochemical Parameters From Its Spectral Reflectance and Transmission Measurements”, IEEE Transactions on Geoscience and Remote Sensing, vol. 99, pp. 1-13, 2020.

A spectral mixing model accounting for multiple reflections and shadow

V. Andrejchenko, Zahiri, Z., Heylen, R., and Scheunders, P., “A spectral mixing model accounting for multiple reflections and shadow”, in IGARSS 2019, International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 286-289.

Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform

M. Shahrimie Asaari, Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., “Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform”, Computers and Electronics in Agriculture, vol. 162, pp. 749-758, 2019.

Automatic Detection of Surface Damages on Steel Structures using Near Infrared Hyperspectral Imaging

Z. Zahiri, Ribbens, B., Vanlanduit, S., and Scheunders, P., “Automatic Detection of Surface Damages on Steel Structures using Near Infrared Hyperspectral Imaging”, 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS). 2018.

Classification of hardened cement and lime mortar using short-wave infrared spectrometry data

Z. Zahiri, Laefer, D., and Gowen, A., “Classification of hardened cement and lime mortar using short-wave infrared spectrometry data”, in 11th international conference on Structural Analysis of Historical Constructions, 2018.

The feasibility of short-wave infrared spectrometry in assessing water-to-cement ratio and density of hardened concrete

Z. Zahiri, Laefer, D., and Gowen, A., “The feasibility of short-wave infrared spectrometry in assessing water-to-cement ratio and density of hardened concrete”, Construction and Building Materials, 2018.

Using Short-wave Infrared Range Spectrometry Data to Determine Brick Characteristics

D. Laefer, Zahiri, Z., and Gowen, A., “Using Short-wave Infrared Range Spectrometry Data to Determine Brick Characteristics”, INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE, 2018.

Distinguishing Façade Material Change using Hyperspectral Imaging

“Distinguishing Façade Material Change using Hyperspectral Imaging”. 2017.

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