217 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of FloridaUS21 papers
- Monash UniversityAU16 papers
- Commonwealth Scientific and Industrial Research OrganisationAU14 papers
- The University of MelbourneAU13 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- UNSW SydneyAU10 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR9 papers
- Max Planck Institute for AstronomyDE9 papers
- Max Planck Institute for Radio AstronomyDE9 papers
- University of CanterburyNZ9 papers
- Cardiff UniversityGB8 papers
- Space Science InstituteUS8 papers
5 papers · 1 filter
ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis
Maisha Haque, Israt Jahan Ayshi, Sadaf M. Anis +8
This research proposes "ForCM", a novel approach to forest cover mapping that combines Object-Based Image Analysis (OBIA) with Deep Learning (DL) using multispectral Sentinel-2 ima…
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
Saleh Shahinfar, Paul Meek, Greg Falzon
Deep learning (DL) algorithms are the state of the art in automated classification of wildlife camera trap images. The challenge is that the ecologist cannot know in advance how ma…
Face Recognition in Unconstrained Conditions: A Systematic Review
Andrew Jason Shepley
Face recognition is a biometric which is attracting significant research, commercial and government interest, as it provides a discreet, non-intrusive way of detecting, and recogni…
Deep Learning For Face Recognition: A Critical Analysis
Andrew Jason Shepley
Face recognition is a rapidly developing and widely applied aspect of biometric technologies. Its applications are broad, ranging from law enforcement to consumer applications, and…
The two-dimensional Gabor function adapted to natural image statistics: A model of simple-cell receptive fields and sparse structure in images
Peter Loxley
The two-dimensional Gabor function is adapted to natural image statistics, leading to a tractable probabilistic generative model that can be used to model simple-cell receptive-fie…