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Detection of linear objects in ERS-1 SAR images using neural network technology

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1 Author(s)
O. Hellwich ; Chair for Photogrammetry & Remote Sensing, Tech. Univ. Munich, Munchen, Germany

A classification method for the automatic detection of linear objects in synthetic aperture radar (SAR) images is proposed. It is based on feature extraction using a line model, some basic cues from human vision and a neural network classification considering local and global parameters. The method is applied to ERS-1 SAR images to derive the locations of lake and forest boundaries

Published in:

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International  (Volume:4 )

Date of Conference:

8-12 Aug 1994