Nanorobotic processing of graphene for rapid device prototyping
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: 2014DOI: 10.1109/IGARSS.2014.6947524
Keyword(s): feature extraction,geophysical image processing,geophysical techniques,hyperspectral imaging,image classification,Airborne Visible Infra-Red Imaging Spectrometer,NASA Jet Propulsion Laboratory AVIRIS,hyperspectral data,hyperspectral image classification,logarithmic opinion pool,lowpass filtering profile,morphological attribute profile,multiple spatial features,multiple spectral features,real hyperspectral images,spatial feature extraction,spectral-spatial classification,state-of
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Nanorobotic processing of graphene for rapid device prototyping
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| contributor author | Zimmermann, S. , Barragan, S.A.G. , Fatikow, S. | |
| date accessioned | 2020-03-12T20:50:11Z | |
| date available | 2020-03-12T20:50:11Z | |
| date issued | 2014 | |
| identifier other | 6908807.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1027266?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Nanorobotic processing of graphene for rapid device prototyping | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8152361 | |
| subject keywords | feature extraction | |
| subject keywords | geophysical image processing | |
| subject keywords | geophysical techniques | |
| subject keywords | hyperspectral imaging | |
| subject keywords | image classification | |
| subject keywords | Airborne Visible Infra-Red Imaging Spectrometer | |
| subject keywords | NASA Jet Propulsion Laboratory AVIRIS | |
| subject keywords | hyperspectral data | |
| subject keywords | hyperspectral image classification | |
| subject keywords | logarithmic opinion pool | |
| subject keywords | lowpass filtering profile | |
| subject keywords | morphological attribute profile | |
| subject keywords | multiple spatial features | |
| subject keywords | multiple spectral features | |
| subject keywords | real hyperspectral images | |
| subject keywords | spatial feature extraction | |
| subject keywords | spectral-spatial classification | |
| subject keywords | state-of | |
| identifier doi | 10.1109/IGARSS.2014.6947524 | |
| journal title | ano/Micro Engineered and Molecular Systems (NEMS), 2014 9th IEEE International Conference on | |
| filesize | 697508 | |
| citations | 0 |