Results 11 to 20 of about 48,205 (257)

A review on deep learning in UAV remote sensing

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2021
Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural language, audio, video, and many others.
Lucas Prado Osco   +9 more
doaj   +3 more sources

Close range mini Uavs photogrammetry for architecture survey [PDF]

open access: yes, 2018
The survey of historical façades contains several bottlenecks, mainly related to the geometrical structure, the decorative framework, the presence of natural or artificial obstacles, the environment limitations.
Carnevali, Laura   +5 more
core   +5 more sources

Diverse Planning for UAV Control and Remote Sensing [PDF]

open access: yesSensors, 2016
Unmanned aerial vehicles (UAVs) are suited to various remote sensing missions, such as measuring air quality. The conventional method of UAV control is by human operators. Such an approach is limited by the ability of cooperation among the operators controlling larger fleets of UAVs in a shared area.
Jan Tožička, Antonín Komenda
openaire   +3 more sources

A NEW METHOD OF FAST REGISTRATION OF UNMANNED AERIAL VEHICLE REMOTE SENSING IMAGES BASED-ON AN IMPROVED SURF ALGORITHM [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Remote sensing system fitted on UAV (Unmanned Aerial Vehicle) can obtain clear images and high-resolution aerial photographs. It has advantages of flexibility, convenience and ability to work full-time.
T. J. Lei   +9 more
doaj   +1 more source

A Review on Unmanned Aerial Vehicle Remote Sensing: Platforms, Sensors, Data Processing Methods, and Applications

open access: yesDrones, 2023
In recent years, UAV remote sensing has gradually attracted the attention of scientific researchers and industry, due to its broad application prospects. It has been widely used in agriculture, forestry, mining, and other industries. UAVs can be flexibly
Zhengxin Zhang, Lixue Zhu
doaj   +1 more source

Detection of irrigation inhomogeneities in an olive grove using the NDRE vegetation index obtained from UAV images [PDF]

open access: yes, 2019
We have developed a simple photogrammetric method to identify heterogeneous areas of irrigated olive groves and vineyard crops using a commercial multispectral camera mounted on an unmanned aerial vehicle (UAV).
Jorge Sánchez, Juan   +2 more
core   +2 more sources

The survey of the Basilica di Collemaggio in L’Aquila with a system of terrestrial imaging and most proven techniques [PDF]

open access: yes, 2017
The proposed job concerns the evaluation of a series of surveys carried out in the context of a campaign of studies begun in 2015 with the objective of comparing the accuracies obtainable with the systems of terrestrial imaging, compared to unmanned ...
Allegra, Massimo   +5 more
core   +2 more sources

Launching an unmanned aerial vehicle remote sensing data carrier: concept, key components and prospects

open access: yesInternational Journal of Digital Earth, 2020
Unmanned aerial vehicles (UAV) based remote sensing is an emerging and important data source. Recently, the use of UAVs for remote sensing applications has been rapidly growing owing to their greater availability and the miniaturization of sensors.
Xiaohan Liao   +7 more
doaj   +1 more source

Application of low-altitude unmanned aerial vehicle remote sensing in the phenotypic analysis of oil crops

open access: yes浙江大学学报. 农业与生命科学版, 2023
The conventional approach to gathering field phenotypic data for oil crops is characterized by its time-consuming and labor-intensive nature, resulting in low work efficiency.
SUN Yongqi   +6 more
doaj   +1 more source

Unmanned Aerial Vehicles (UAVs) in environmental biology: A Review [PDF]

open access: yes, 2018
Acquiring information about the environment is a key step during each study in the field of environmental biology at different levels, from an individual species to community and biome.
Bogawski, Pawel   +2 more
core   +2 more sources

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