Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field
Sign Up to like & getrecommendations! Published in 2022 at "Pest Management Science"
DOI: 10.1002/ps.6857
Abstract: Abstract BACKGROUND The common vole (Microtus arvalis) is a very destructive agricultural pest. Particularly in Europe, its monitoring is essential not only for adequate management and outbreak forecasting, but also for accurately determining the vole's… read more here.
Keywords: classification; multispectral imagery; pest management; common vole ... See more keywords
UAV-based multispectral imagery for fast Citrus Greening detection
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Plant Diseases and Protection"
DOI: 10.1007/s41348-019-00234-8
Abstract: Considering the variation in spectral response of plants due to unhealthiness effects, this study utilizes multispectral imaging to detect Greening disease of citrus trees. Low altitude multispectral images acquired in five discrete bands of R,… read more here.
Keywords: multispectral imagery; imagery; detection; uav based ... See more keywords
A deep 2D/3D Feature-Level fusion for classification of UAV multispectral imagery in urban areas
Sign Up to like & getrecommendations! Published in 2021 at "Geocarto International"
DOI: 10.1080/10106049.2021.1959655
Abstract: In this paper, a deep convolutional neural network (CNN) is developed to classify the Unmanned Aerial Vehicle (UAV) derived multispectral imagery and normalized digital surface model (DSM) data in ... read more here.
Keywords: multispectral imagery; imagery; level fusion; feature level ... See more keywords
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery
Sign Up to like & getrecommendations! Published in 2019 at "PLoS Neglected Tropical Diseases"
DOI: 10.1371/journal.pntd.0007105
Abstract: Interest in larval source management (LSM) as an adjunct intervention to control and eliminate malaria transmission has recently increased mainly because long-lasting insecticidal nets (LLINs) and indoor residual spray (IRS) are ineffective against exophagic and… read more here.
Keywords: multispectral imagery; imagery; malaria vector; larval ... See more keywords
Semi-automated detection of looting in Afghanistan using multispectral imagery and principal component analysis
Sign Up to like & getrecommendations! Published in 2017 at "Antiquity"
DOI: 10.15184/aqy.2017.90
Abstract: Abstract High-resolution satellite imagery has proved to be a powerful tool for calculating the extent of looting at heritage sites in conflict zones around the world. Monitoring damage over time, however, has been largely dependent… read more here.
Keywords: multispectral imagery; automated detection; imagery; principal component ... See more keywords