6 citations · 8 across the 8 of their papers we have counts for
8 papers
Reflectance Multispectral Imaging for Soil Composition Estimation and USDA Texture Classification
G. A. S. L Ranasinghe, J. A. S. T. Jayakody, M. C. L. De Silva +5
Soil texture is a foundational attribute that governs water availability and erosion in agriculture, as well as load bearing capacity, deformation response, and shrink-swell risk i…
Computer Vision based group activity detection and action spotting
Narthana Sivalingam, Santhirarajah Sivasthigan, Thamayanthi Mahendranathan +3
Group activity detection in multi-person scenes is challenging due to complex human interactions, occlusions, and variations in appearance over time. This work presents a computer…
Enhanced SCanNet with CBAM and Dice Loss for Semantic Change Detection
Athulya Ratnayake, Buddhi Wijenayake, Praveen Sumanasekara +3
Semantic Change Detection (SCD) in remote sensing imagery requires accurately identifying land-cover changes across multi-temporal image pairs. Despite substantial advancements, in…
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…
Transformer based Endmember Fusion with Spatial Context for Hyperspectral Unmixing
R. M. K. L. Ratnayake, D. M. U. P. Sumanasekara, H. M. K. D. Wickramathilaka +3
In recent years, transformer-based deep learning networks have gained popularity in Hyperspectral (HS) unmixing applications due to their superior performance. The attention mechan…
Dual mode multispectral imaging system for food and agricultural product quality estimation
Darsha Udayanga, Ashan Serasinghe, Supun Dassanayake +4
Multispectral imaging coupled with Artificial Intelligence, Machine Learning and Signal Processing techniques work as a feasible alternative for laboratory testing, especially in f…
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…
Device to Remotely Track and Locate the Position of a Child for Safety
S. M. K. C. S. B. Egodawela, H. M. D. M. B. Herath, R. D. Ranaweera +1
Parents are always worried about the wellbeing of their children. As per the Statistics Report 2017 by Missing Children Europe Organization, a child is reported missing every 2 min…