Application of sparse representation of ground penetrating radar data in a study of extracting rock fracture signature
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: 2014DOI: 10.1109/ICUAS.2014.6842380
Keyword(s): aircraft landing guidance,n autonomous aerial vehicles,n control engineering computing,n image classification,n matrix algebra,n robot vision,n support vector machines,n KTH TIPS data set,n aerial images,n aircraft autonomy,n autonomous aircraft emergency landing,n emergency landing situation,n feature attributes,n image-based surface classification,n multiclass SVM,n multiclass support vector machine,n natural aerial scenery classification,n no
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Application of sparse representation of ground penetrating radar data in a study of extracting rock fracture signature
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| contributor author | Tang, Xinjian | |
| contributor author | Ren, Weizhong | |
| contributor author | Sun, Tao | |
| contributor author | Hou, Renjun | |
| date accessioned | 2020-03-12T22:00:42Z | |
| date available | 2020-03-12T22:00:42Z | |
| date issued | 2014 | |
| identifier other | 6970564.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1068326 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Application of sparse representation of ground penetrating radar data in a study of extracting rock fracture signature | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8203368 | |
| subject keywords | aircraft landing guidance | |
| subject keywords | n autonomous aerial vehicles | |
| subject keywords | n control engineering computing | |
| subject keywords | n image classification | |
| subject keywords | n matrix algebra | |
| subject keywords | n robot vision | |
| subject keywords | n support vector machines | |
| subject keywords | n KTH TIPS data set | |
| subject keywords | n aerial images | |
| subject keywords | n aircraft autonomy | |
| subject keywords | n autonomous aircraft emergency landing | |
| subject keywords | n emergency landing situation | |
| subject keywords | n feature attributes | |
| subject keywords | n image-based surface classification | |
| subject keywords | n multiclass SVM | |
| subject keywords | n multiclass support vector machine | |
| subject keywords | n natural aerial scenery classification | |
| subject keywords | n no | |
| identifier doi | 10.1109/ICUAS.2014.6842380 | |
| journal title | round Penetrating Radar (GPR), 2014 15th International Conference on | |
| filesize | 1236526 | |
| citations | 0 |