When multi-focus image fusion networks meet traditional edge-preservation technology
Generating the decision map with accurate boundaries is the key to fusing multi-focus
images. In this paper, we introduce edge-preservation (EP) techniques into neural networks …
images. In this paper, we introduce edge-preservation (EP) techniques into neural networks …
Deep convolutional neural network-based system for fish classification
A Al Smadi, A Mehmood, A Abugabah… - … Journal of Electrical …, 2022 - zuscholars.zu.ac.ae
In computer vision, image classification is one of the potential image processing tasks.
Nowadays, fish classification is a wide considered issue within the areas of machine …
Nowadays, fish classification is a wide considered issue within the areas of machine …
Metrology, agriculture and food: literature quantitative analysis
Great attention has been given in recent years to the relationships between metrology,
agriculture, and food. This study aims at providing an analysis of the literature regarding the …
agriculture, and food. This study aims at providing an analysis of the literature regarding the …
Brain image fusion approach based on side window filtering
Brain medical image fusion plays an important role in framing a contemporary image to
enhance the reciprocal and repetitive information for diagnosis purposes. A novel approach …
enhance the reciprocal and repetitive information for diagnosis purposes. A novel approach …
Enhancing Spatial Resolution in Tandem Mass Spectrometry Ion/Ion Reaction Imaging Experiments through Image Fusion
We have recently developed a charge inversion ion/ion reaction to selectively derivatize
phosphatidylserine lipids via gas-phase Schiff base formation. This tandem mass …
phosphatidylserine lipids via gas-phase Schiff base formation. This tandem mass …
A pansharpening based on the non-subsampled contourlet transform and convolutional autoencoder: Application to QuickBird imagery
This paper presents a pansharpening technique based on the non-subsampled contourlet
transform (NSCT) and convolutional autoencoder (CAE). NSCT is exceptionally proficient at …
transform (NSCT) and convolutional autoencoder (CAE). NSCT is exceptionally proficient at …
[PDF][PDF] Hyperspectral Image Fusion–A Comprehensive Review
MJ da Lomba Magalhães - 2022 - erepo.uef.fi
Existing hyperspectral imaging (HSI) systems produce images that lack spatial resolution
due to hardware limitations. Even with the proven efficacy of this technology in several …
due to hardware limitations. Even with the proven efficacy of this technology in several …
[PDF][PDF] Seagrass and Seaweed Detection Approaches Using Remote Sensing and Google Earth Engine: A comparative Analysis of Different Machine Learning …
S Knag - 2023 - nmbu.brage.unit.no
Seagrasses and seaweed habitats contribute to crucial ecological services globally, from
capturing carbon dioxide and supporting 20% of the world's largest fisheries to sustaining …
capturing carbon dioxide and supporting 20% of the world's largest fisheries to sustaining …
L'érosion des falaises au sein des aléas côtiers: suivi, compréhension et partage
P Letortu - 2023 - hal.science
L'observation des falaises (et de l'érosion associée) selon divers points de vue (vertical,
oblique, horizontal et interne), par une approche naturaliste et par emboîtement d'échelles …
oblique, horizontal et interne), par une approche naturaliste et par emboîtement d'échelles …
[PDF][PDF] Metrology, Agriculture and Food: Literature Quantitative Analysis. Agriculture 2021, 11, 889
A Durazzo, EB Souto, G Lombardi-Boccia… - New Traits of …, 2021 - academia.edu
Great attention has been given in recent years to the relationships between metrology,
agriculture, and food. This study aims at providing an analysis of the literature regarding the …
agriculture, and food. This study aims at providing an analysis of the literature regarding the …