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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ergul, M. Alatan, A.A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Elektrik ve Elektron. Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey (Ergul, M.) |
| Abstract | In this paper, a novel automatic geo-spatial object recognition algorithm from high resolution satellite imagery is proposed. The proposed algorithm consists of two main steps; the generation of hypothesis with a local feature based algorithm and verification step with a shape based approach. The superiority of this method is the ability of minimization of false alarm number in the recognition and this is because object shape includes more characteristic and discriminative information about object identity and functionality. Furthermore, the location information can be extracted for the detected objects completely and precisely. Experimental results reveal that the proposed algorithm has promising results in terms of accuracy in recognizing geospatial objects, such as airplane etc., from high resolution satellite imagery. |
| Sponsorship | IEEE Turkey Sect. SP Chapter |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 546803 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467355629 |
| e-ISBN | 9781467355636 |
| e-ISBN | 9781467355612 |
| DOI | 10.1109/SIU.2013.6531187 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-04-24 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | object recognition image segmnetation Satellites Image resolution Shape Object detection Geospatial analysis Object recognition shape descriptors Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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