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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mura, M.D. Benediktsson, J.A. Waske, B. Bruzzone, L. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Information Engineering and Computer Science, University of Trento Via Sommarive, 14 I-38123, Povo, Trento, Italy (Mura, M.D.; Bruzzone, L.) || Faculty of Electrical and Computer Engineering, University of Iceland, Hjardarhaga 2-6, 101 Reykjavik, Iceland (Benediktsson, J.A.; Waske, B.) |
| Abstract | This paper proposes the use of morphological attribute profiles as an effective alternative to the conventional morphological operators based on the geodesic reconstruction for modeling the spatial information in very high resolution images. Attribute profiles, used in multilevel approaches, result particularly effective in terms of computational complexity and capabilities in characterizing the objects in the image. In addition they are more flexible than operators by reconstruction, thanks to the definition of possible different attributes. Experimental results obtained on a Quickbird panchromatic very high resolution image proved the effectiveness of the presented attribute filters and pointed out their main properties. |
| File Size | 553407 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5418096 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Filters Image analysis Image resolution Remote sensing Image reconstruction Spatial resolution Information analysis Electronic mail Geophysics computing Computational complexity very high resolution Mathematical morphology morphological profiles morphological filters |
| Content Type | Text |
| Resource Type | Article |
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