Zobrazeno 1 - 10
of 300
pro vyhledávání: '"William J. Emery"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6391-6401 (2022)
Marine debris is a serious problem for marine ecosystems and related coastal activities. We carry out a study using in-situ debris clean-up data (collected by a local Japanese company) together with high spatial resolution satellite images to determi
Externí odkaz:
https://doaj.org/article/913a823ab75e4aa2973945e46e05818c
Autor:
Marina Ruggieri, William J. Emery, Adriano Camps, Paul M. Cunningham, Mal Heron, Witold Kinsner, Anthony Milne
Publikováno v:
IEEE Access, Vol 8, Pp 105775-105778 (2020)
What is happening in the Polar Regions represents a meaningful and somehow amplified sample of the Global Climate Change (GCC) effects [item 1)–3) in the Appendix].
Externí odkaz:
https://doaj.org/article/9af6cedcf36f44429a02472a32e03404
Publikováno v:
Remote Sensing, Vol 7, Iss 6, Pp 7785-7808 (2015)
This paper describes a novel strategy for the visualization of hyperspectral imagery based on the analysis of image pixel pairwise distances. The goal of this approach is to generate a final color image with excellent interpretability and high contra
Externí odkaz:
https://doaj.org/article/382ade1fb1b5464f8a33e10fa4365745
Autor:
William J. Emery, John Schmalzel
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1877 (2018)
The recent proliferation of unmanned aerial vehicle (UAV) platforms has greatly increased our ability to remotely sense the Earth’s surface from the air at particularly low altitudes. [...]
Externí odkaz:
https://doaj.org/article/804651ef7c704aa0b0be19f161121f45
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1713 (2018)
Deep learning has become a standard processing procedure in land cover mapping for remote sensing images. Instead of relying on hand-crafted features, deep learning algorithms, such as Convolutional Neural Networks (CNN) can automatically generate ef
Externí odkaz:
https://doaj.org/article/c3b925582c0f40ac98222f8ae7ef5195
Publikováno v:
Remote Sensing, Vol 9, Iss 11, p 1089 (2017)
Earlier studies of spatial variability in sea surface temperature (SST) using ship-based radiometric data suggested that variability at scales smaller than 1 km is significant and affects the perceived uncertainty of satellite-derived SSTs. Here, we
Externí odkaz:
https://doaj.org/article/94bcc8a8a77944a0a978f08ad5114d59
Publikováno v:
Remote Sensing, Vol 9, Iss 10, p 1083 (2017)
We explore the potential of computing coastal ocean surface currents from Moderate-Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) satellite imagery using the maximum cross-correlation (MCC) method.
Externí odkaz:
https://doaj.org/article/de9e6e48812447bfb2d7676cb7e4dfa2
Autor:
William J. Emery, Author
This book reviews the field of physical oceanography, starting with its history and culminating in the past, present and future challenges of this scientific discipline. It introduces the different aspects of the science, and presents the observation
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e395d32cc22a672ba9cb6a2a5209dc49
https://doi.org/10.1109/tgrs.2023.3241193
https://doi.org/10.1109/tgrs.2023.3241193
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63e80559a0fc6fbb2573ea89ebbafb50
https://doi.org/10.1109/tgrs.2022.3222520
https://doi.org/10.1109/tgrs.2022.3222520