Discovering discriminative graphlets for aerial image categories recognition
Recognizing aerial image categories is useful for scene annotation and surveillance. Local features have been demonstrated to be robust to image transformations, including occlusions and clutters. However, the geometric property of an aerial image (i.e., the topology and relative displacement of loc...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 22(2013), 12 vom: 14. Dez., Seite 5071-84
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| Auteur principal: |
Zhang, Luming
(Auteur) |
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| Autres auteurs: |
Han, Yahong,
Yang, Yi,
Song, Mingli,
Yan, Shuicheng,
Tian, Qi |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2013
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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