Title :
Accurate and efficient determination of the shoreline in ERS-1 SAR images
Author :
Mason, David C. ; Davenport, Ian J.
Author_Institution :
Dept. of Geogr., Reading Univ., UK
fDate :
9/1/1996 12:00:00 AM
Abstract :
Extraction of the shoreline in SAR images is a difficult task to perform using simple image processing operations such as grey-value thresholding, due to the presence of speckle and because the signal returned from the sea surface may be similar to that from the land. A semiautomatic method for detecting the shoreline accurately and efficiently in ERS-1 SAR images is presented. This is aimed primarily at a particular application, namely the construction of a digital elevation model of an intertidal zone using SAR images and hydrodynamic model output, but could be carried over to other applications. A coarse-fine resolution processing approach is employed, in which sea regions are first detected as regions of low edge density in a low resolution image, then image areas near the shoreline are subjected to more elaborate processing at high resolution using an active contour model. Over 90% of the shoreline detected by the automatic delineation process appear visually correct
Keywords :
edge detection; geomorphology; geophysical signal processing; geophysical techniques; oceanographic techniques; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; topography (Earth); ERS-1; SAR; active contour model; beach; coastal geomorphology; digital elevation model; edge detection; geophysical measurement technique; image processing; intertidal zone; land surface topography; ocean; radar imaging; radar remote sensing; sea coast; semiautomatic method; shoreline; spaceborne radar; terrain mapping; Active contours; Digital elevation models; Hydrodynamics; Image edge detection; Image processing; Image resolution; Land surface; Sea surface; Signal processing; Speckle;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on