11 citations · 13 across the 4 of their papers we have counts for
5 papers
A Novel Algorithm for Digital Lithological Mapping-Case Studies in Sri Lanka's Mineral Exploration
R. M. L. S. Ramanayake, D. C. Dammage, I. Z. M. Zumri +8
Conventional manual lithological mapping (MLM) through field surveys are resource-extensive and time-consuming. Digital lithological mapping (DLM), harnessing remotely sensed spect…
GAUSS: Guided Encoder-Decoder Architecture for Hyperspectral Unmixing with Spatial Smoothness
Yasiru Ranasinghe, Kavinga Weerasooriya, Roshan Godaliyadda +6
In recent hyperspectral unmixing (HU) literature, the application of deep learning (DL) has become more prominent, especially with the autoencoder (AE) architecture. We propose a s…
Single-target mineral detection with site-specific endmember extraction for survey points identification: A case study of Jaffna, Sri Lanka
D. Y. L. Ranasinghe, H. M. H. K. Weerasooriya, S. Herath +5
As field surveys used for manual lithological mapping are costly and time-consuming, digital lithological mapping (DLM) that utilizes remotely sensed spectral imaging provides a vi…
Transmittance Multispectral Imaging for Reheated Coconut Oil Differentiation
D. Y. L. Ranasinghe, H. M. H. K. Weerasooriya, S. Herath +4
Oil reheating has a significant impact on global health due to its extensive consumption, especially in South Asia, and severe health risks. Nevertheless, food image analysis using…
Constrained Nonnegative Matrix Factorization for Blind Hyperspectral Unmixing incorporating Endmember Independence
E. M. M. B. Ekanayake, H. M. H. K. Weerasooriya, D. Y. L. Ranasinghe +5
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 fractio…