Imaging and Optics
Extracting visual information from in situ images forms the basis of modern-day benthic and pelagic ecosystem research. With rapid advance in optical and imaging technologies and increasing affordability, large volumes of high-resolution imagery is now routinely collected, increasingly from autonomous systems. This increase in data-intensity has created the need to significantly improve transmissions to allow for efficient information extraction and instrumentation response times.
Theme 2 will develop intelligent data processing methods to enable near real-time, remote monitoring of targets including particulate matter, phytoplankton, zooplankton, microplastics, coral, seagrass, macroalgae, invertebrates, fish, and litter. It will address key data processing, power consumption and communication bottlenecks through the application of artificial intelligence, machine learning, software improvements and optimised data extraction.