Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
[HTML][HTML] A review on deep learning in UAV remote sensing
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …
capability, and brought important breakthroughs for processing images, time-series, natural …
Deep learning COVID-19 features on CXR using limited training data sets
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-
ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important …
ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important …
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
The use of unmanned aerial vehicles (UAVs) in vegetation remote sensing allows a time-
flexible and cost-effective acquisition of very high-resolution imagery. Still, current methods …
flexible and cost-effective acquisition of very high-resolution imagery. Still, current methods …
Mapping of urban vegetation with high-resolution remote sensing: A review
R Neyns, F Canters - Remote sensing, 2022 - mdpi.com
Green space is increasingly recognized as an important component of the urban
environment. Adequate management and planning of urban green space is crucial to …
environment. Adequate management and planning of urban green space is crucial to …
[HTML][HTML] Mapping tropical forest degradation with deep learning and Planet NICFI data
Tropical rainforests from the Brazilian Amazon are frequently degraded by logging, fire,
edge effects and minor unpaved roads. However, mapping the extent of degradation …
edge effects and minor unpaved roads. However, mapping the extent of degradation …
Olive tree biovolume from UAV multi-resolution image segmentation with mask R-CNN
Olive tree growing is an important economic activity in many countries, mostly in the
Mediterranean Basin, Argentina, Chile, Australia, and California. Although recent …
Mediterranean Basin, Argentina, Chile, Australia, and California. Although recent …
[HTML][HTML] Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery
The assessment of forest abiotic damages such as snow breakage is important to ensure
compensation to forest owners. Currently, information on the extent of snow breakage is …
compensation to forest owners. Currently, information on the extent of snow breakage is …
Deforestation detection with fully convolutional networks in the amazon forest from landsat-8 and sentinel-2 images
The availability of remote-sensing multisource data from optical-based satellite sensors has
created new opportunities and challenges for forest monitoring in the Amazon Biome. In …
created new opportunities and challenges for forest monitoring in the Amazon Biome. In …
Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests
Colour-thresholding digital imaging methods are generally accurate for measuring the
percentage of foliar area affected by disease or pests (severity), but they perform poorly …
percentage of foliar area affected by disease or pests (severity), but they perform poorly …