A multi-band watershed segmentation method for individual tree crown delineation from high resolution multispectral aerial image
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Year
: 2014DOI: 10.1109/ISSCC.2014.6757401
Keyword(s): CMOS integrated circuits,n analogue-digital conversion,n low-power electronics,n CMOS integrated circuit,n analog-digital converter,n power 21 mW,n size 0.13 mum,n thermal noise limited designs,n zero crossing pipeline ADC,n CMOS integrated circuits,n CMOS technology,n Calibration,n Capacitors,n Linearity,n Pipelines,n Temperature measurement
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A multi-band watershed segmentation method for individual tree crown delineation from high resolution multispectral aerial image
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| contributor author | Jian Yang | |
| contributor author | Yuhong He | |
| contributor author | Caspersen, J. | |
| date accessioned | 2020-03-12T21:31:29Z | |
| date available | 2020-03-12T21:31:29Z | |
| date issued | 2014 | |
| identifier other | 6945949.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1051598 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A multi-band watershed segmentation method for individual tree crown delineation from high resolution multispectral aerial image | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8181659 | |
| subject keywords | CMOS integrated circuits | |
| subject keywords | n analogue-digital conversion | |
| subject keywords | n low-power electronics | |
| subject keywords | n CMOS integrated circuit | |
| subject keywords | n analog-digital converter | |
| subject keywords | n power 21 mW | |
| subject keywords | n size 0.13 mum | |
| subject keywords | n thermal noise limited designs | |
| subject keywords | n zero crossing pipeline ADC | |
| subject keywords | n CMOS integrated circuits | |
| subject keywords | n CMOS technology | |
| subject keywords | n Calibration | |
| subject keywords | n Capacitors | |
| subject keywords | n Linearity | |
| subject keywords | n Pipelines | |
| subject keywords | n Temperature measurement | |
| identifier doi | 10.1109/ISSCC.2014.6757401 | |
| journal title | eoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International | |
| filesize | 716953 | |
| citations | 0 |