Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Michael Sears"'
Publikováno v:
South African Journal of Science, Vol 110, Iss 5/6, Pp 5-5 (2014)
Externí odkaz:
https://doaj.org/article/a32d52396bb142fba655e3ef2537f123
Autor:
Asad Mahmood, Michael Sears
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Modeling of the underlying noise in a hyperspectral image reveals important information about the characteristics of the hyperspectral sensor and the image itself. While the focus in the literature has mostly been on the estimation of noise statistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4161a49304d960c3f5cc83b312997c0
https://doi.org/10.1109/lgrs.2021.3064998
https://doi.org/10.1109/lgrs.2021.3064998
Autor:
Michael Sears
Ted Molloy, a Queens attorney with a troublesome penchant for noble causes, investigates the murder of a corrupt immigration lawyer in the sharply observed follow-up to the 2022 Nero Award winner Tower of Babel.Ted Molloy has hit his stride with a fo
Autor:
Nontokozo Mpofu, Michael Sears
Publikováno v:
IPAS
Echocardiogram metadata annotation is an entry level to the interpretation and analysis of echocardiographs for clinical usage. Automation of this task has been the subject of research over the past few years. In this paper we evaluate how far some s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6d2f004cb735386893630f4624654d5
https://doi.org/10.1109/ipas50080.2020.9334932
https://doi.org/10.1109/ipas50080.2020.9334932
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11:3853-3862
Accurate estimation of the underlying noise is vital in the processing of hyperspectral images (HSIs). Previous studies have shown that many HSI processing algorithms perform poorly if the noise is not correctly estimated. The classic residual (CR) m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42318f873f49a1c86ac177058f4420a4
https://doi.org/10.1109/jstars.2018.2862472
https://doi.org/10.1109/jstars.2018.2862472
Autor:
Michael Sears
Shamus Award–winning author Michael Sears brings Queens, New York, to literary life in this crime series debut featuring a somewhat seedy lawyer with a heart of gold (or at least gold plate). Queens, New York—the most diverse place on earth. Nati
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 55:1451-1460
Many hyperspectral image processing algorithms (e.g., detection, classification, endmember extraction, and so on) are generally designed with the assumption of no spectral or spatial correlation in noise. However, previous studies have shown the pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fe63a01742c4e4e7e86b74ab7ecdf80
https://doi.org/10.1109/tgrs.2016.2624505
https://doi.org/10.1109/tgrs.2016.2624505
Publikováno v:
WHISPERS
An accurate estimate of the underlying noise is required in many hyperspectral image processing algorithms. In this regard, the classic residual method [1] is one of the most commonly employed noise estimation methods for hyperspectral images. We rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e50422af73b28762a9f731504a5cadf4
https://doi.org/10.1109/whispers.2018.8747066
https://doi.org/10.1109/whispers.2018.8747066
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8:2854-2861
The intrinsic dimension (ID) of a hyperspectral image (HSI) is an important prior knowledge for unsupervised unmixing. Incorrect determination of this number may have adverse effects on the unmixing results. Several methods have been developed to det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af44437f024abfd032daf100dc1ed85f
https://doi.org/10.1109/jstars.2015.2432460
https://doi.org/10.1109/jstars.2015.2432460
Publikováno v:
AFRICON
Hyperspectral images (HSI) have found widespread application in many disciplines because of their ability to characterize the object being imaged in a much more detailed manner as compared to colored or multispectral images. An accurate modelling of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ec4bff46e2c875f9b20eb30c7df46d8
https://doi.org/10.1109/afrcon.2017.8095701
https://doi.org/10.1109/afrcon.2017.8095701