Results 71 to 80 of about 558,332 (197)
Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery [PDF]
Computer Vision and Pattern Recognition, 2019 Deep learning is revolutionizing the mapping industry. Under lightweight human curation, computer has generated almost half of the roads in Thailand on Open- StreetMap (OSM) using high resolution aerial imagery.
Tao Sun +4 more
semanticscholar +1 more source
Automatic Building Detection with Polygonizing and Attribute Extraction from High-Resolution Images
ISPRS International Journal of Geo-Information, 2021 Buildings can be introduced as a fundamental element for forming a city. Therefore, up-to-date building maps have become vital for many applications, including urban mapping and urban expansion analysis.
Samitha Daranagama, Apichon Witayangkurn
doaj +1 more source
Ecological InformaticsDrone-based remote sensing combined with AI-driven methodologies has shown great potential for accurate mapping and monitoring of coral reef ecosystems.
Matteo Contini +6 more
doaj +1 more source
Assisting UAV Localization Via Deep Contextual Image Matching
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In this article, we aim to explore the potential of using onboard cameras and pre-stored geo-referenced imagery for Unmanned Aerial Vehicle (UAV) localization.
Muhammad Hamza Mughal +2 more
doaj +1 more source
Predicting Climate Using Aerial Imagery
Journal of Student Research, 2022 A well-known issue throughout the world is Climate Change. To combat this problem, aerial imagery can be classified into different Koeppen-Geiger climate types, which can be compared to themselves in future years, showing any type of evidence that the climate is changing.
openaire +1 more source
Drone Journalism as Visual Aggregation: Toward a Critical History
Media and Communication, 2020 The use of unmanned aerial vehicles (UAVs—commonly referred to as drones) in journalism has emerged only recently, and has grown significantly. This article explores what makes drone imagery as an instance of what scholars of visual culture call an ...
James F. Hamilton
doaj +1 more source
Aerial Imagery Pixel-level Segmentation
, 2020 30 pages, 15 figures, 4 tables.
Heffels, Michael R., Vanschoren, Joaquin
openaire +2 more sources
Automatic Classification of Aerial Imagery
Defence Science Journal, 2007 The aerial imagery obtained from reconnaissance platform is voluminous and the defenceforces rely on image information to perform intelligent tasks. The application of a welldesigned automatic image classifier would enhance the end results of different high levelapplications thereby abridging the effort of a human analyst.
Jharna Majumdar, Lekshmi S., B. Vanathy
openaire +1 more source
Noninvasive archaeological site characterization: case studies from Fort Ellice 1 and 2, Canada
Drone Systems and ApplicationsWith the growing availability of remotely sensed aerial data, noninvasive archaeological prospection and characterization have become increasingly viable.
Scott Hamilton, Nick Kuncewicz
doaj +1 more source
Automated crop plant counting from very high-resolution aerial imagery
Precision Agriculture, 2020 Knowing before harvesting how many plants have emerged and how they are growing is key in optimizing labour and efficient use of resources. Unmanned aerial vehicles (UAV) are a useful tool for fast and cost efficient data acquisition.
J. Valente +4 more
semanticscholar +1 more source