45 citations · 136 across the 14 of their papers we have counts for
19 papers
Atmospheric Turbulence Removal with Complex-Valued Convolutional Neural Network
Nantheera Anantrasirichai
Atmospheric turbulence distorts visual imagery and is always problematic for information interpretation by both human and machine. Most well-developed approaches to remove atmosphe…
Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset
Perla Mayo, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse +2
Automatic detection of parasitic eggs in microscopy images has the potential to increase the efficiency of human experts whilst also providing an objective assessment. The time sav…
High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation
Odysseas Pappas, Nantheera Anantrasirichai, Byron Adams +1
High accuracy coastline/shoreline extraction from SAR imagery is a crucial step in a number of maritime and coastal monitoring applications. We present a method based on image segm…
Sparse InSAR Data 3D Inpainting for Ground Deformation Detection Along the Rail Corridor
Odysseas Pappas, Juliet Biggs, David Bull +2
Monitoring of ground movement close to the rail corridor, such as that associated with landslips caused by ground subsidence and/or uplift, is of great interest for the detection a…
Self-supervised Contrastive Learning for Volcanic Unrest Detection
Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail +1
Ground deformation measured from Interferometric Synthetic Aperture Radar (InSAR) data is considered a sign of volcanic unrest, statistically linked to a volcanic eruption. Recent…
Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning
Thanaphon Suwannaphong, Sawaphob Chavana, Sahapol Tongsom +3
Intestinal parasitic infection leads to several morbidities to humans worldwide, especially in tropical countries. The traditional diagnosis usually relies on manual analysis from…