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Multispectral satellite imagery and machine learning for the extraction of shoreline indicators
Abstract Analysis of shoreline change is fundamental to a broad range of investigations
undertaken by coastal scientists, coastal engineers, and coastal managers. Multispectral …
undertaken by coastal scientists, coastal engineers, and coastal managers. Multispectral …
Coastal pollution analysis for environmental health and ecological safety using deep learning technique
Environmental degradation and loss of biodiversity occur widely in marine and coastal
regions. The coastal ecosystems have diverse components, including mammals …
regions. The coastal ecosystems have diverse components, including mammals …
A deep learning method of water body extraction from high resolution remote sensing images with multisensors
Water body extraction from remote sensing images is an important task. Deep learning has
become a more popular method for extracting water bodies from remote sensing images …
become a more popular method for extracting water bodies from remote sensing images …
Assessing the accuracy of Sentinel-2 instantaneous subpixel shorelines using synchronous UAV ground truth surveys
Due to recent technological advancements in the field of cloud-based satellite remote
sensing, the barriers to global analysis ready dataset access and processing have lowered …
sensing, the barriers to global analysis ready dataset access and processing have lowered …
[HTML][HTML] Coastal wetland shoreline change monitoring: A comparison of shorelines from high-resolution WorldView Satellite imagery, aerial Imagery, and field surveys
Shoreline change analysis is an important environmental monitoring tool for evaluating
coastal exposure to erosion hazards, particularly for vulnerable habitats such as coastal …
coastal exposure to erosion hazards, particularly for vulnerable habitats such as coastal …
Machine learning prediction of ore deposit genetic type using magnetite geochemistry
Magnetite geochemistry is crucial for the discrimination of ore deposit genetic type.
Traditional two-dimensional discrimination diagrams based on particular data for limited …
Traditional two-dimensional discrimination diagrams based on particular data for limited …
[HTML][HTML] Coast type based accuracy assessment for coastline extraction from satellite image with machine learning classifiers
Abstract Machine learning (ML) classifiers provide convenience and accuracy in coastline
extraction compared to traditional methods and image processing techniques. In literature …
extraction compared to traditional methods and image processing techniques. In literature …
Comparing activation functions in modeling shoreline variation using multilayer perceptron neural network
JC Chen, YM Wang - Water, 2020 - mdpi.com
The study has modeled shoreline changes by using a multilayer perceptron (MLP) neural
network with the data collected from five beaches in southern Taiwan. The data included …
network with the data collected from five beaches in southern Taiwan. The data included …
[HTML][HTML] Improving the accuracy of satellite-derived bathymetry using multi-layer perceptron and random forest regression methods: A case study of Tavşan Island
The spatial and spectral information brought by the Very High Resolution (VHR) and
multispectral satellite images present an advantage for Satellite-Derived Bathymetry (SDB) …
multispectral satellite images present an advantage for Satellite-Derived Bathymetry (SDB) …
RETRACTED ARTICLE: Research on image classification method based on convolutional neural network
D Li, L Deng, Z Cai - Neural Computing and Applications, 2021 - Springer
Image classification method is currently the more popular image technology, but it still has
certain problems in practice. In order to improve the image classification effect, this study …
certain problems in practice. In order to improve the image classification effect, this study …