Please use this identifier to cite or link to this item:
|Title:||Video registration to geo-referenced imagery||Authors:||Kasparis, Takis
|Issue Date:||2004||Publisher:||SPIE||Source:||Signal and Data Processing of Small Targets, 2004, Orlando, Florida||Abstract:||The problem of accurately registering an aerial video image to geo-referenced imagery has become more important in recent years. To achieve high efficiency, we propose a guided hierarchical searching scheme to augment the current geo-registration framework. The algorithm consists of three major steps. It the first step, the reference image and video frames are projected to a common coordinate system based on the telemetry. In the second step, feature points are extracted in the video and reference, and the coarse searching for the best match was performed on a feature points image pyramid, where the comparison process is only applied to the regions with feature points. In the final step, the precise transformation parameters are estimated using the Levenberg-Marquardt techniques, which results in a precise alignment of the video and reference. Compared with conventional blind comparison based on the normalized cross-correlation measure, the proposed approach differs because it applies a feature-based hierarchical searching scheme to quickly lead the matching process to the most likely portion in the reference and speed up the matching process. Experimental results that evaluate the developed approach using real world aerial video will be presented. The obtained results demonstrate that our proposed method can be used in a complete geo-registration system to provide accurate registration of the video frames.||URI:||http://ktisis.cut.ac.cy/handle/10488/7063||ISSN:||0277786X||DOI:||10.1117/12.541734||Rights:||© 2004 SPIE|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
checked on Apr 18, 2017
checked on Aug 20, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.