Remote Sensing Image Retrieval with Combined Features Of Salient Region
| Autor: | Z. F. Shao, W. X. Zhou, Q. M. Cheng |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-6, Pp 83-88 (2014) |
| Druh dokumentu: | article |
| ISSN: | 1682-1750 2194-9034 |
| DOI: | 10.5194/isprsarchives-XL-6-83-2014 |
| Popis: | Low-level features tend to achieve unsatisfactory retrieval results in remote sensing image retrieval community because of the existence of semantic gap. In order to improve retrieval precision, visual attention model is used to extract salient objects from image according to their saliency. Then color and texture features are extracted from salient objects and regarded as feature vectors for image retrieval. Experimental results demonstrate that our method improves retrieval results and obtains higher precision. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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