A survey on SAR and optical satellite image registration
O Sommervold, M Gazzea, R Arghandeh - Remote Sensing, 2023 - mdpi.com
After decades of research, automatic synthetic aperture radar (SAR)-optical registration
remains an unsolved problem. SAR and optical satellites utilize different imaging …
remains an unsolved problem. SAR and optical satellites utilize different imaging …
A comprehensive survey for deep-learning-based abnormality detection in smart grids with multimodal image data
F Zhou, G Wen, Y Ma, H Geng, R Huang, L Pei, W Yu… - Applied Sciences, 2022 - mdpi.com
In this paper, we provide a comprehensive survey of the recent advances in abnormality
detection in smart grids using multimodal image data, which include visible light, infrared …
detection in smart grids using multimodal image data, which include visible light, infrared …
[HTML][HTML] An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai
Accurate monitoring of air quality can reduce its adverse impact on earth. Ground-level
sensors can provide fine particulate matter (PM 2.5) concentrations and ground images. But …
sensors can provide fine particulate matter (PM 2.5) concentrations and ground images. But …
Dynamic modeling of the effects of vegetation management on weather-related power outages
This paper develops a machine learning outage prediction model (OPM) to serve as a
simulation framework capable of quantifying the reduction in damages to the distribution …
simulation framework capable of quantifying the reduction in damages to the distribution …
VEPL Dataset: A vegetation encroachment in power line corridors dataset for semantic segmentation of drone aerial orthomosaics
Vegetation encroachment in power line corridors has multiple problems for modern energy-
dependent societies. Failures due to the contact between power lines and vegetation can …
dependent societies. Failures due to the contact between power lines and vegetation can …
Tree species classification using high-resolution satellite imagery and weakly supervised learning
Knowing vegetation type in an area is crucial for several applications, including ecology,
land-use management, and infrastructure risk assessment. In combination with recent …
land-use management, and infrastructure risk assessment. In combination with recent …
A statistical framework for evaluating the effectiveness of vegetation management in reducing power outages caused during storms in distribution networks
This paper develops a statistical framework to analyze the effectiveness of vegetation
management at reducing power outages during storms of varying severity levels. The …
management at reducing power outages during storms of varying severity levels. The …
Predicting tree failure likelihood for utility risk mitigation via a convolutional neural network
Critical to the resilience of utility power lines, tree failure assessments have historically been
performed via costly manual inspections. In this paper, we develop a convolutional neural …
performed via costly manual inspections. In this paper, we develop a convolutional neural …
MARU-Net: Multiscale Attention Gated Residual U-Net With Contrastive Loss for SAR-Optical Image Matching
M Gazzea, O Sommervold… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Accurate synthetic aperture radar-optical matching is essential for combining the
complementary information from the two sensors. However, the main challenge is …
complementary information from the two sensors. However, the main challenge is …
Automated satellite-based assessment of hurricane impacts on roadways
During extreme weather events, such as hurricanes, trees can cause significant challenges
for the local communities with roadway closures or power outages. Local responders must …
for the local communities with roadway closures or power outages. Local responders must …