Opportunities for seagrass research derived from remote sensing: A review of current methods

BK Veettil, RD Ward, MDAC Lima, M Stankovic… - Ecological …, 2020 - Elsevier
Seagrass communities provide critical ecosystem and provisioning services for both human
populations and a wide range of associated species globally. However, it has been reported …

Semantic segmentation of major macroalgae in coastal environments using high-resolution ground imagery and deep learning

J Balado, C Olabarria, J Martínez-Sánchez… - … Journal of Remote …, 2021 - Taylor & Francis
Macroalgae are a fundamental component of coastal ecosystems and play a key role in
shaping community structure and functioning. Macroalgae are currently threatened by …

Dense convolutional networks for semantic segmentation

C Han, Y Duan, X Tao, J Lu - IEEE Access, 2019 - ieeexplore.ieee.org
Recent studies have greatly promoted the development of semantic segmentation. Most
state-of-the-art methods adopt fully convolutional networks (FCNs) to accomplish this task, in …

Combined use of FCN and Harris corner detection for counting wheat ears in field conditions

D Wang, Y Fu, G Yang, X Yang, D Liang, C Zhou… - IEEE …, 2019 - ieeexplore.ieee.org
Accurate counting of wheat ears in field conditions is vital to predict yield and for crop
breeding. To quickly and accurately obtain the number of wheat ears in a field, we propose …

[HTML][HTML] Path planning for underwater information gathering based on genetic algorithms and data stochastic models

M Bresciani, F Ruscio, S Tani, G Peralta… - Journal of Marine …, 2021 - mdpi.com
Recent technological developments have paved the way to the employment of Autonomous
Underwater Vehicles (AUVs) for monitoring and exploration activities of marine …

[HTML][HTML] Improving accuracy and efficiency in seagrass detection using state-of-the-art AI techniques

MK Noman, SMS Islam, J Abu-Khalaf, SMJ Jalali… - Ecological …, 2023 - Elsevier
Seagrasses provide a wide range of ecosystem services in coastal marine environments.
Despite their ecological and economic importance, these species are declining because of …

[HTML][HTML] Seagrass classification using unsupervised curriculum learning (UCL)

N Abid, MK Noman, G Kovács, SMS Islam… - Ecological …, 2024 - Elsevier
Seagrass ecosystems are pivotal in marine environments, serving as crucial habitats for
diverse marine species and contributing significantly to carbon sequestration. Accurate …

BAOS-CNN: A novel deep neuroevolution algorithm for multispecies seagrass detection

MK Noman, SM Shamsul Islam, SM Jafar Jalali… - Plos one, 2024 - journals.plos.org
Deep learning, a subset of machine learning that utilizes neural networks, has seen
significant advancements in recent years. These advancements have led to breakthroughs …

Adaptive visual information gathering for autonomous exploration of underwater environments

E Guerrero, F Bonin-Font, G Oliver - IEEE Access, 2021 - ieeexplore.ieee.org
This work presents the development and field testing of a novel adaptive visual information
gathering (AVIG) framework for autonomous exploration of benthic environments using …

Automatic annotation of subsea pipelines using deep learning

A Stamoulakatos, J Cardona, C McCaig, D Murray… - Sensors, 2020 - mdpi.com
Regulatory requirements for sub-sea oil and gas operators mandates the frequent
inspection of pipeline assets to ensure that their degradation and damage are maintained at …