Results 61 to 70 of about 558,332 (197)

Few-shot object detection on aerial imagery via deep metric learning and knowledge inheritance

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
Object detection is crucial in aerial imagery analysis. Previous methods based on convolutional neural networks (CNNs) require large-scale labeled datasets for training to achieve significant success.
Wu-zhou Li   +4 more
doaj   +1 more source

Drone aerial imagery for the simulation of a neonate burial based on the geoforensic search strategy (GSS)

open access: yesJournal of Forensic Sciences, 2021
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.
Benjamin Rocke, A. Ruffell, L. Donnelly
semanticscholar   +1 more source

Beyond presence mapping: predicting fractional cover of non‐native vegetation in Sentinel‐2 imagery using an ensemble of MaxEnt models

open access: yesRemote Sensing in Ecology and Conservation, 2023
Non‐native species maps are important tools for understanding and managing biological invasions. We demonstrate a novel approach to extend presence modeling to map fractional cover (FC) of non‐native yellow sweet clover Melilotus officinalis in the ...
Todd M. Preston   +3 more
doaj   +1 more source

MULTI-SCALE BUILDING MAPS FROM AERIAL IMAGERY [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Abstract. Nowadays, the extraction of buildings from aerial imagery is mainly done through deep convolutional neural networks (DCNNs). Buildings are predicted as binary pixel masks and then regularized to polygons. Restricted by nearby occlusions (such as trees), building eaves, and sometimes imperfect imagery data, these results can hardly be used to ...
Y. Feng, C. Yang, M. Sester
openaire   +3 more sources

Quantifying the Effect of Aerial Imagery Resolution in Automated Hydromorphological River Characterisation

open access: yesRemote Sensing, 2016
Existing regulatory frameworks aiming to improve the quality of rivers place hydromorphology as a key factor in the assessment of hydrology, morphology and river continuity.
Monica Rivas Casado   +3 more
doaj   +1 more source

Gray whale detection in satellite imagery using deep learning

open access: yesRemote Sensing in Ecology and Conservation, 2023
The combination of very high resolution (VHR) satellite remote sensing imagery and deep learning via convolutional neural networks provides opportunities to improve global whale population surveys through increasing efficiency and spatial coverage.
Katherine M. Green   +9 more
doaj   +1 more source

La diserzione dello sguardo. Appunti sulla sorte dell'immagine aerea nel cinema contemporaneo

open access: yesAnnali Online dell'Università di Ferrara. Sezione Lettere, 2011
The aerial view has traditionally represented a powerful “optical paradigm” of modern visual culture, being connected to the ideas of precision, effectiveness and victory, and film studies bring it back to the “cartographic anxiety” of the early film. In
Giorgio Avezzù
doaj   +1 more source

EXTRACTION OF HOUSES FROM POINT CLOUD LIDAR: PROBLEMS AND CHALLENGE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Although many efforts have been made on the extraction of houses from LiDAR (Light Detection and Ranging) and/or aerial imagery and/or their fusion, little investigation using co-registration between the orthoimage map and LiDAR on the basis of geodetic ...
G. Q. Zhou, W. Q. Di
doaj   +1 more source

Tree detection from aerial imagery [PDF]

open access: yesProceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2009
We propose an automatic approach to tree detection from aerial imagery. First a pixel-level classifier is trained to assign a {tree, non-tree} label to each pixel in an aerial image. The pixel-level classification is then refined by a partitioning algorithm to a clean image segmentation of tree and non-tree regions.
Lin Yang   +3 more
openaire   +1 more source

Comparative Analysis of Machine Learning Techniques and Data Sources for Dead Tree Detection: What Is the Best Way to Go?

open access: yesRemote Sensing
In Central Europe, the extent of bark beetle infestation in spruce stands due to prolonged high temperatures and drought has created large areas of dead trees, which are difficult to monitor by ground surveys.
Júlia Matejčíková   +2 more
doaj   +1 more source

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