Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats — A new approach combining OBIA and k-partite graphs
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: 2014DOI: 10.1109/HAPTICS.2014.6775447
Keyword(s): actuators,n computer based training,n haptic interfaces,n musical instruments,n PI,n drumming learning,n haptic guidance system,n mental processing times,n multiple actuators,n natural egocentric mapping,n perceptual assessment,n percussion instrument,n striking strength,n time 0.15 s,n time 0.30 s,n time 0.46 s,n vibrotactile guidance cues,n Accuracy,n Force,n Haptic interfaces,n Mice,n Time factors,n Vibrations,n Visualizatio
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Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats — A new approach combining OBIA and k-partite graphs
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| contributor author | Guttler, F. | |
| contributor author | Alleaume, S. | |
| contributor author | Corbane, C. | |
| contributor author | Ienco, D. | |
| contributor author | Nin, J. | |
| contributor author | Poncelet, P. | |
| contributor author | Teisseire, M. | |
| date accessioned | 2020-03-12T21:33:47Z | |
| date available | 2020-03-12T21:33:47Z | |
| date issued | 2014 | |
| identifier other | 6947344.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1052926 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats — A new approach combining OBIA and k-partite graphs | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8183182 | |
| subject keywords | actuators | |
| subject keywords | n computer based training | |
| subject keywords | n haptic interfaces | |
| subject keywords | n musical instruments | |
| subject keywords | n PI | |
| subject keywords | n drumming learning | |
| subject keywords | n haptic guidance system | |
| subject keywords | n mental processing times | |
| subject keywords | n multiple actuators | |
| subject keywords | n natural egocentric mapping | |
| subject keywords | n perceptual assessment | |
| subject keywords | n percussion instrument | |
| subject keywords | n striking strength | |
| subject keywords | n time 0.15 s | |
| subject keywords | n time 0.30 s | |
| subject keywords | n time 0.46 s | |
| subject keywords | n vibrotactile guidance cues | |
| subject keywords | n Accuracy | |
| subject keywords | n Force | |
| subject keywords | n Haptic interfaces | |
| subject keywords | n Mice | |
| subject keywords | n Time factors | |
| subject keywords | n Vibrations | |
| subject keywords | n Visualizatio | |
| identifier doi | 10.1109/HAPTICS.2014.6775447 | |
| journal title | eoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International | |
| filesize | 859846 | |
| citations | 0 |