Empirical mode decomposition of hyperspectral images for segmentation of seagrass coverage
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: 2014شناسه الکترونیک: 10.1109/ICDEW.2014.6818352
کلیدواژه(گان): query processing,n road traffic,n road vehicles,n traffic engineering computing,n Euclidean space,n iRoad framework,n location based services,n location-based advertising,n moving objects,n predictive query processing,n ride sharing,n road network,n routing,n short term query prediction,n traffic management,n Aggregates,n Data structures,n Maintenance engineering,n Predictive models,n Query processing,n Roads,n Scalability
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Empirical mode decomposition of hyperspectral images for segmentation of seagrass coverage
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contributor author | Mehrubeoglu, Mehrube | |
contributor author | Trombley, Chris | |
contributor author | Shanks, Susan E. | |
contributor author | Cammarata, Kirk | |
contributor author | Simons, James | |
contributor author | Zimba, Paul V. | |
contributor author | McLauchlan, Lifford | |
date accessioned | 2020-03-12T21:47:21Z | |
date available | 2020-03-12T21:47:21Z | |
date issued | 2014 | |
identifier other | 6958441.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1060511?locale-attribute=fa | |
format | general | |
language | English | |
publisher | IEEE | |
title | Empirical mode decomposition of hyperspectral images for segmentation of seagrass coverage | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8192138 | |
subject keywords | query processing | |
subject keywords | n road traffic | |
subject keywords | n road vehicles | |
subject keywords | n traffic engineering computing | |
subject keywords | n Euclidean space | |
subject keywords | n iRoad framework | |
subject keywords | n location based services | |
subject keywords | n location-based advertising | |
subject keywords | n moving objects | |
subject keywords | n predictive query processing | |
subject keywords | n ride sharing | |
subject keywords | n road network | |
subject keywords | n routing | |
subject keywords | n short term query prediction | |
subject keywords | n traffic management | |
subject keywords | n Aggregates | |
subject keywords | n Data structures | |
subject keywords | n Maintenance engineering | |
subject keywords | n Predictive models | |
subject keywords | n Query processing | |
subject keywords | n Roads | |
subject keywords | n Scalability | |
identifier doi | 10.1109/ICDEW.2014.6818352 | |
journal title | maging Systems and Techniques (IST), 2014 IEEE International Conference on | |
filesize | 1157044 | |
citations | 0 |