Detection of linear objects in ERS-1 SAR images using neural network technology
Olaf Hellwich · 2002
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.>