Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Lloyd Windrim"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2554-2572 (2020)
A machine learning methodology is developed for the detection of individual trees, classification of health, and detection of dead/dying trees in 125 mm resolution aerial multispectral orthoimagery and photogrammetric pointcloud data. The novelty of
Externí odkaz:
https://doaj.org/article/7b8653cc23514670a1140e671e67c513
Autor:
Lloyd Windrim, Mitch Bryson
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1469 (2020)
Accurate measurements of the structural characteristics of trees such as height, diameter, sweep and taper are an important part of forest inventories in managed forests and commercial plantations. Both terrestrial and aerial LiDAR are currently empl
Externí odkaz:
https://doaj.org/article/cdbb9649689c4153986a1c7ae65018f4
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 864 (2019)
This paper proposes novel autoencoders for unsupervised feature-learning from hyperspectral data. Hyperspectral data typically have many dimensions and a significant amount of variability such that many data points are required to represent the distr
Externí odkaz:
https://doaj.org/article/40bf3b395f254cfc988122515a3da14d
Publikováno v:
Remote Sensing, Vol 11, Iss 6, p 733 (2019)
Surveying of woody debris left over from harvesting operations on managed forests is an important step in monitoring site quality, managing the extraction of residues and reconciling differences in pre-harvest inventories and actual timber yields. Tr
Externí odkaz:
https://doaj.org/article/09bf3fba85eb4368995aa23ba2708148
Autor:
Lashika Medagoda, Mitchell Galea, Suchet Bargoti, Junaid Khan, Toby Dunne, Steve Potiris, Zain Ul Abidin, Irsa Anwar, Jordan Jolly, Lloyd Windrim, Fazilai Charolia
Publikováno v:
Day 3 Wed, November 02, 2022.
Asset management of a marine port or terminal requires inspection of the asset components below the water surface, at the water surface line and above the water surface. In order to determine asset health, high fidelity, multi-modal data is captured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be881a1ae5b1d3189cc47362f7cafcc3
https://doi.org/10.2118/210999-ms
https://doi.org/10.2118/210999-ms
Publikováno v:
Geoscience Frontiers. 14:101562
The remote mapping of minerals and discrimination of ore and waste on surfaces are important tasks for geological applications such as those in mining. Such tasks have become possible using ground-based, close-range hyperspectral sensors which can re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11aad24cb524312e06da0f0d986add5d
https://doi.org/10.1016/j.gsf.2023.101562
https://doi.org/10.1016/j.gsf.2023.101562
Publikováno v:
Acta Astronautica. 181:301-315
This paper presents a data driven approach to space object characterisation through the application of machine learning techniques to observational light curve data. One-dimensional convolutional neural networks are shown to be effective at classifyi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2c43ac71a4e2b91454ca65406ec8879
https://doi.org/10.1016/j.actaastro.2021.01.048
https://doi.org/10.1016/j.actaastro.2021.01.048
Autor:
Lloyd Windrim, Eric L. Ferguson, Steven Potiris, Toby Dunne, Zarif Aziz, Yuze Gong, Suchet Bargoti, Nasir Ahsan
Publikováno v:
Day 2 Tue, May 03, 2022.
If not closely monitored, corrosion on the surface of offshore oil and gas platforms leads to the increased risk of unplanned shutdowns. On-site fabric maintenance inspections of corrosion defects are labor-intensive and require frequent travel offsh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e45928ee9a214478eb5eee54aae77946
https://doi.org/10.4043/32082-ms
https://doi.org/10.4043/32082-ms
Publikováno v:
Day 1 Mon, November 15, 2021.
Objective Continuous fabric maintenance (FM) is crucial for uninterrupted operations on offshore oil and gas platforms. A primary FM goal is managing the onset of coating degradation across the surfaces of offshore platforms. Physical field inspectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e70dd9aed7b39533baa91662dda2731b
https://doi.org/10.2118/208119-ms
https://doi.org/10.2118/208119-ms
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 56:2798-2810
Convolutional neural networks (CNNs) have been shown to be a powerful tool for image classification. Recently, they have been adopted into the remote sensing community with applications in material classification from hyperspectral images. However, C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a48e9c281df8cfd2c684d66440858950
https://doi.org/10.1109/tgrs.2017.2783886
https://doi.org/10.1109/tgrs.2017.2783886