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29 December 2008 A new approach for automatic matching of ground control points in urban areas from heterogeneous images
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Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728515 (2008) https://doi.org/10.1117/12.815423
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
This paper discusses a new method for the automatic matching of ground control points (GCPs) between satellite remote sensing Image and digital raster graphic (DRG) in urban areas. The key of this method is to automatically extract tie point pairs according to geographic characters from such heterogeneous images. Since there are big differences between such heterogeneous images respect to texture and corner features, more detail analyzations are performed to find similarities and differences between high resolution remote sensing Image and (DRG). Furthermore a new algorithms based on the fuzzy-c means (FCM) method is proposed to extract linear feature in remote sensing Image. Based on linear feature, crossings and corners extracted from these features are chosen as GCPs. On the other hand, similar method was used to find same features from DRGs. Finally, Hausdorff Distance was adopted to pick matching GCPs from above two GCP groups. Experiences shown the method can extract GCPs from such images with a reasonable RMS error.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chao Cong, Dingsheng Liu, and Lingjun Zhao "A new approach for automatic matching of ground control points in urban areas from heterogeneous images", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728515 (29 December 2008); https://doi.org/10.1117/12.815423
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