no code implementations • 1 Apr 2024 • R. M. L. S. Ramanayake, D. Fernando, D. Wickramasinghe, D. Y. L. Ranasinghe, G. M. R. I. Godaliyadda, H. M. V. R. Herath, M. P. B. Ekanayake, A. Senaratne, Fadi Kizel
The results of satellite-based spectral imaging analysis were corroborated with X-ray diffraction (XRD) and Magnetic Separation (MS) analysis of soil samples collected from those sites via field surveys.
no code implementations • 6 Feb 2024 • H. M. K. D. Wickramathilaka, R. M. K. L. Ratnayake, D. M. U. P. Sumanasekara, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, H. M. V. R. Herath
Drawing inspiration from this, we propose a novel attention based Hyperspectral Unmixing algorithm called Transformer based Endmember Fusion with Spatial Context for Hyperspectral Unmixing (FusionNet).
no code implementations • 4 Oct 2023 • Darsha Udayanga, Ashan Serasinghe, Supun Dassanayake, Roshan Godaliyadda, H. M. V. R. Herath, M. P. B. Ekanayake, H. L. P. Malshan
An innovative merged mode is introduced in which both reflectance and transmittance information of a specimen are combined to form a higher dimensional dataset with more features.
no code implementations • 28 Aug 2021 • D. Y. L. Ranasinghe, H. M. H. K. Weerasooriya, S. Herath, M. P. B. Ekanayake, H. M. V. R. Herath, G. M. R. I. Godaliyadda, T. Madhujith
Accordingly, the proposed work closes the gap for using multispectral imaging for oil reheating and proposes a novel algorithm for unsupervised detection of critical property changes in the oil.
no code implementations • 30 Nov 2020 • S. Herath, H. K. Weerasooriya, D. Y. L. Ranasinghe, W. G. C. Bandara, H. M. V. R. Herath, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, Terrence Madhujith
Therefore, we propose an imaging system hardware and image processing-based algorithm to estimate the adulteration of coconut oil with palm oil as the adulterant.
no code implementations • 2 Mar 2020 • E. M. M. B. Ekanayake, H. M. H. K. Weerasooriya, D. Y. L. Ranasinghe, S. Herath, B. Rathnayake, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, H. M. V. R. Herath
Hyperspectral unmixing (HU) has become an important technique in exploiting hyperspectral data since it decomposes a mixed pixel into a collection of endmembers weighted by fractional abundances.