Coastal landscape classification using convolutional neural network and remote sensing data in Vietnam
The length of global coastline is about 356 thousand kilometers with various dynamic
natural and anthropogenic. Although the number of studies on coastal landscape …
natural and anthropogenic. Although the number of studies on coastal landscape …
[HTML][HTML] Improved learning by using a modified activation function of a Convolutional Neural Network in multi-spectral image classification
RK Vasanthakumari, RV Nair, VG Krishnappa - Machine Learning with …, 2023 - Elsevier
Abstract The Convolutional Neural Network (CNN) algorithm is used to classify multispectral
images of labelled EuroSAT data from Sentinel-2 satellite. The main objective of this study to …
images of labelled EuroSAT data from Sentinel-2 satellite. The main objective of this study to …
Deep learning models for monitoring landscape changes in a UNESCO Global Geopark
By identifying Earth heritage sites, UNESCO Global Geoparks (UGGps) have promoted geo-
tourism and regional economic prosperity. However, commercial and tourism development …
tourism and regional economic prosperity. However, commercial and tourism development …
Comparison between U-shaped structural deep learning models to detect landslide traces
Landslides endanger lives and public infrastructure in mountainous areas. Monitoring
landslide traces in real-time is difficult for scientists, sometimes costly and risky because of …
landslide traces in real-time is difficult for scientists, sometimes costly and risky because of …
Deep learning models integrating multi-sensor and-temporal remote sensing to monitor landslide traces in Vietnam
Landslides pose significant threats to lives and public infrastructure in mountainous regions.
Real-time landslide monitoring presents challenges for scientists, often involving substantial …
Real-time landslide monitoring presents challenges for scientists, often involving substantial …
Quality in beans: tracking and tracing coffee through automation and machine learning
Purpose Coffee is one of the most consumed beverages in the world and the global coffee
industry is worth over $100 bn. However, the industry faces significant sustainability …
industry is worth over $100 bn. However, the industry faces significant sustainability …
Coastline and shoreline change assessment in sandy coasts based on machine learning models and high-resolution satellite images
Abstract Changes to the coastline or shoreline arise from the water's dynamic interaction
with the land surface, which is triggered by ocean currents, waves, and winds. Various …
with the land surface, which is triggered by ocean currents, waves, and winds. Various …
[HTML][HTML] Quantifying the Potential Contribution of Submerged Aquatic Vegetation to Coastal Carbon Capture in a Delta System from Field and Landsat 8/9-Operational …
Submerged aquatic vegetation (SAV) are highly efficient at carbon sequestration and,
despite their relatively small distribution globally, are recognized as a potentially valuable …
despite their relatively small distribution globally, are recognized as a potentially valuable …
Multidecadal evaluation of changes in coffee-growing areas using Landsat data in Central Highlands, Vietnam
Vietnam is the world's second-largest coffee exporter. Information on coffee-growing areas is
thus important for production estimation. This research developed an approach for coffee …
thus important for production estimation. This research developed an approach for coffee …
[PDF][PDF] Object Classification by Effective Segmentation of Tree Canopy Using U-Net Model
S Vasavi, AL Likhitha, VS Premchand… - Journal of Advances in …, 2024 - jait.us
According to the Forest Survey of India and yearly report, Kerala has a total area covered by
trees of 2951 sq km, which is 7.59% of the state's total area. In regions like Kerala …
trees of 2951 sq km, which is 7.59% of the state's total area. In regions like Kerala …