Robust mosaicking of maize fields from aerial imagery
Sign Up to like & getrecommendations! Published in 2020 at "Applications in Plant Sciences"
DOI: 10.1002/aps3.11387
Abstract: Premise Aerial imagery from small unmanned aerial vehicle systems is a promising approach for high‐throughput phenotyping and precision agriculture. A key requirement for both applications is to create a field‐scale mosaic of the aerial imagery… read more here.
Keywords: imagery; aerial imagery; fields aerial; maize fields ... See more keywords
Assessing the Potential of using Sentinel-1 and 2 or high-resolution aerial imagery data with Machine Learning and Data Science Techniques to Model Peatland Restoration Progress – a Northern Scotland case study
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2023.2209916
Abstract: ABSTRACT Peatland is a globally important store of carbon. Peatland restoration efforts are being increasingly undertaken yet effective monitoring of landscape-scale restoration projects has been limited. A particular gap in our understanding is the length… read more here.
Keywords: restoration; aerial imagery; northern scotland; peatland restoration ... See more keywords
Improving Semantic Segmentation in Aerial Imagery via Graph Reasoning and Disentangled Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3121471
Abstract: Semantic segmentation in aerial imagery is still an important, yet challenging task due to the complex characteristics of remote-sensing data. The critical issues consist of: 1) extreme foreground–background imbalance; 2) large intra-class variance; and 3)… read more here.
Keywords: aerial imagery; segmentation aerial; via graph; disentangled learning ... See more keywords
Mutual-Feed Learning for Super-Resolution and Object Detection in Degraded Aerial Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3198083
Abstract: The resolution degradation poses a huge challenge for object detection (OD) in aerial imagery. The existing methods use super-resolution (SR) based on generative adversarial network (GAN) to restore texture details in degraded images. However, constrained… read more here.
Keywords: aerial imagery; super resolution; mutual feed; detection ... See more keywords
Creating Semantic HD Maps From Aerial Imagery and Aggregated Vehicle Telemetry for Autonomous Vehicles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3140423
Abstract: We present a new framework for creating lane-level detailed HD-maps at scale for autonomous vehicles (AVs). In order to overcome scaling challenges of ground survey-based HD-map creation, we propose a number of innovations by leveraging… read more here.
Keywords: road; aggregated vehicle; vehicle telemetry; aerial imagery ... See more keywords
Drone aerial imagery for the simulation of a neonate burial based on the geoforensic search strategy (GSS)
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Forensic Sciences"
DOI: 10.1111/1556-4029.14690
Abstract: A woman reporting the homicide and burial of an infant in 2004 prompted the creation of an experimental simulated neonate grave shortly before the real search commenced. The real case, documented here, did not use… read more here.
Keywords: search strategy; geoforensic search; aerial imagery; search ... See more keywords
Habitat classification using convolutional neural networks and multitemporal multispectral aerial imagery
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.15.042406
Abstract: Abstract. The monitoring of threatened habitats is a key objective of European environmental policies. Due to the high cost of current field-based habitat mapping techniques, there is keen interest in proposing solutions that can reduce… read more here.
Keywords: multispectral aerial; aerial imagery; neural networks; convolutional neural ... See more keywords
Assessing the Geospatial Accuracy of Aerial Imagery Collected with Various UAS Platforms
Sign Up to like & getrecommendations! Published in 2018 at "Transactions of the ASABE"
DOI: 10.13031/trans.12852
Abstract: Abstract. Recent development of small unmanned aircraft systems (UAS) provides a relatively low-cost solution to collect aerial imagery with very high spatial and temporal resolutions. The geospatial accuracy of collected data can range from a… read more here.
Keywords: aerial imagery; accuracy; flight; geospatial accuracy ... See more keywords
A Comparison of Forest Tree Crown Delineation from Unmanned Aerial Imagery Using Canopy Height Models vs. Spectral Lightness
Sign Up to like & getrecommendations! Published in 2020 at "Forests"
DOI: 10.3390/f11060605
Abstract: Improvements in computer vision combined with current structure-from-motion photogrammetric methods (SfM) have provided users with the ability to generate very high resolution structural (3D) and spectral data of the forest from imagery collected by unmanned… read more here.
Keywords: spectral lightness; unmanned aerial; tree crown; aerial imagery ... See more keywords
Biomass Estimation of Urban Forests Using LiDAR and High-Resolution Aerial Imagery in Athens–Clarke County, GA
Sign Up to like & getrecommendations! Published in 2023 at "Forests"
DOI: 10.3390/f14051064
Abstract: The benefits and services of urban forests are becoming increasingly well documented, with carbon storage being the main focus of attention. Recent efforts in urban remote sensing have incorporated additional data such as LiDAR data… read more here.
Keywords: aerial imagery; urban forests; biomass estimation; model ... See more keywords
An open-source automatic survey of green roofs in London using segmentation of aerial imagery
Sign Up to like & getrecommendations! Published in 2023 at "Earth System Science Data"
DOI: 10.5194/essd-15-1521-2023
Abstract: Abstract. Green roofs can mitigate heat, increase biodiversity, and attenuate storm water, giving some of the benefits of natural vegetation in an urban context where ground space is scarce. To guide the design of more… read more here.
Keywords: london; roofs london; green roofs; aerial imagery ... See more keywords