Paper
17 August 1994 Automation of tie-pointing procedure for the geocoding of satellite images
G. Strunz, W. Knoepfle, A. Roth
Author Affiliations +
Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182911
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany
Abstract
This paper describes two recent developments at the German Remote Sensing Data Centre, which aim at the automatic generation of tie points for optical sensors and radar images, and the operational utilization of automatic tiepointing for ERS-1SAR data. In the first paper, a concept for the multitemporal registration of satellite images from optical sensors is described. This approach aims at the automated extraction of corresponding points in the images. It compresses the detection of distinct points by a so-called interest operator in one image. By cross correlation the corresponding points in the other images are traces. Subpixel accuracy is achieved by a least squares technique for digital image matching. Practical results are shown. where multitemporal image data from the Landsat TM sensor are used. The results are promising; improvements of the procedure are discussed. The second part of the paper describes the operation utilization of an automatic tie pointing, which has been realized for the geocoding of the ERS-1SAR data at the German Processing and Archiving Facility. significant features are extracted from reference data sets. The corresponding SAR image chips are stored in a database. These chips are correlated with the actual SAR data set. The procedure is describes as well as the accuracy achieved. For the time being, the determination of the reference chips is performed interactively. an outlook is given concerning several automatic approaches actually being investigated.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Strunz, W. Knoepfle, and A. Roth "Automation of tie-pointing procedure for the geocoding of satellite images", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182911
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Cited by 4 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Earth observing sensors

Image processing

Satellites

Satellite imaging

Sensors

Image registration

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