Perfect adaptation of perturbed nonlinear systems
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: 2014DOI: 10.1109/IGARSS.2014.6947152
Keyword(s): buildings (structures),feature extraction,geophysical image processing,image classification,image resolution,knowledge based systems,Canada,Columbia district,Lakeshore district,ON,QuickBird high resolution image,Waterloo city,building extraction,object based building extraction,object based classification,population estimation,rule based method,Accuracy,Buildings,Cities and towns,Estimation,Remote sensing,Sociology,Statistics,QuickBird,high resolution,object-based class
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Perfect adaptation of perturbed nonlinear systems
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| contributor author | Wei Su | |
| date accessioned | 2020-03-12T23:30:11Z | |
| date available | 2020-03-12T23:30:11Z | |
| date issued | 2014 | |
| identifier other | 6896127.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1114000?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Perfect adaptation of perturbed nonlinear systems | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8283193 | |
| subject keywords | buildings (structures) | |
| subject keywords | feature extraction | |
| subject keywords | geophysical image processing | |
| subject keywords | image classification | |
| subject keywords | image resolution | |
| subject keywords | knowledge based systems | |
| subject keywords | Canada | |
| subject keywords | Columbia district | |
| subject keywords | Lakeshore district | |
| subject keywords | ON | |
| subject keywords | QuickBird high resolution image | |
| subject keywords | Waterloo city | |
| subject keywords | building extraction | |
| subject keywords | object based building extraction | |
| subject keywords | object based classification | |
| subject keywords | population estimation | |
| subject keywords | rule based method | |
| subject keywords | Accuracy | |
| subject keywords | Buildings | |
| subject keywords | Cities and towns | |
| subject keywords | Estimation | |
| subject keywords | Remote sensing | |
| subject keywords | Sociology | |
| subject keywords | Statistics | |
| subject keywords | QuickBird | |
| subject keywords | high resolution | |
| subject keywords | object-based class | |
| identifier doi | 10.1109/IGARSS.2014.6947152 | |
| journal title | ontrol Conference (CCC), 2014 33rd Chinese | |
| filesize | 111997 | |
| citations | 0 |