
Proceedings Paper
A new approach for automatic matching of ground control points in urban areas from heterogeneous imagesFormat | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 29 December 2008
PDF: 8 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728515 (29 December 2008); doi: 10.1117/12.815423
Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)
PDF: 8 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728515 (29 December 2008); doi: 10.1117/12.815423
Show Author Affiliations
Chao Cong, China Remote Sensing Satellite Ground Station (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Dingsheng Liu, China Remote Sensing Satellite Ground Station (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Dingsheng Liu, China Remote Sensing Satellite Ground Station (China)
Lingjun Zhao, China Remote Sensing Satellite Ground Station (China)
Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)
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