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An Efficient Approach for Local Affinity Pattern Detection in Remotely Sensed Big Data

MARINONI, ANDREA;GAMBA, PAOLO ETTORE
2015-01-01
2015
The Earth Sciences category includes resources that deal with all aspects of geosciences, including geology, geochemistry, geophysics, mineralogy, meteorology and atmospheric sciences, hydrology, oceanography, petroleum geology, volcanology, seismology, climatology, paleontology, geography, remote sensing, and geodesy.
The Electrical and Electronics Engineering category covers resources concerned with applications of electricity, generally those involving current flow through conductors, as in motors and generators. This category also covers the examination of the conduction of electricity through gases or a vacuum as well as through semiconducting materials. Topics include image and signal processing, electromagnetics, electronic components and materials, microwave technology, and microelectronics.
sì
WOS:000368904000003
2-s2.0-84945970467
Esperti anonimi
Inglese
Internazionale
STAMPA
1
12
12
Computers in Earth Sciences; big data
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4609443
no
2
info:eu-repo/semantics/article
262
Marinoni, Andrea; Gamba, PAOLO ETTORE
1 Contributo su Rivista::1.1 Articolo in rivista
none
1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1107824
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