Integration of multi-view matching models for linear array digital imagery
Integration of multi-view matching models for linear array digital imagery
- Author(s): S. Ji ; Y.S. Zhang ; D.Z. Fan ; C.G. Dai
- DOI: 10.1049/cp.2012.1204
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- Author(s): S. Ji ; Y.S. Zhang ; D.Z. Fan ; C.G. Dai Source: International Conference on Automatic Control and Artificial Intelligence (ACAI 2012), 2012 p. 1244 – 1247
- Conference: International Conference on Automatic Control and Artificial Intelligence (ACAI 2012)
- DOI: 10.1049/cp.2012.1204
- ISBN: 978-1-84919-537-9
- Location: Xiamen, China
- Conference date: 3-5 March 2012
- Format: PDF
For high resolution digital imagery obtained by linear array imaging systems, principles, working procedures of multi-view matching model, including both GC3 and MVLL model, were introduced. Similarities and differences between GC3 and MVLL model were analyzed. Then, the method and process to integrate GC3 and MVLL model was proposed. Based on ADS40 aerial three-line-array image datasets, experiments were done on a discontinuity feature. The experimental results proved that the integrated model could synthesize more image information to enhance matching reliability, and compared with single multi-view matching model, possessed greater matching superiority.
Inspec keywords: sensor arrays; image resolution; reliability; image matching; geophysical image processing; feature extraction
Subjects: Geography and cartography computing; Computer vision and image processing techniques; Geophysical techniques and equipment; Optical, image and video signal processing; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research
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