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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Maire, C. Datcu, M. |
| Copyright Year | 2005 |
| Description | Author affiliation: Remote Sensing Technol. Inst., German Aerosp. Center, Webling, Germany (Maire, C.; Datcu, M.) |
| Abstract | We present a complete processing line to generate an object based description of optical remote sensing (RS) images. A segmentation algorithm is used to generate a partition of regions and simplify the volume of data. Results are still at the pixel level. Based on topology analyses, a dynamical algorithm is proposed to retrieve, extract the segmented regions and encode them in a tree structure which describes their topological relations (adjacencies, inclusions). The overall collected information constitutes a consistent and independent database, generated efficiently on standard workstation. Many applications are possible, such as content based image retrieval, image description and compression, object classification or image-object fusion. A scenario is presented to emphasize interest of the method in the case of 3D visualization enhancement: image-objects are integrated on elevation data (digital elevation models, DEM) in order to generate more realistic rendering. |
| File Size | 911223 |
| File Format | |
| ISBN | 0780391349 |
| DOI | 10.1109/ICIP.2005.1530024 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-14 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Topology Remote sensing Data mining Image segmentation Partitioning algorithms Fusion power generation Optical sensors Algorithm design and analysis Heuristic algorithms Tree data structures |
| Content Type | Text |
| Resource Type | Article |
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