An automatic coastline detector for use with SAR images
- Sandia National Labs.
SAR imagery for coastline detection has many potential advantages over conventional optical stereoscopic techniques. For example, SAR does not have restrictions on being collected during daylight or when there is no cloud cover. In addition, the techniques for coastline detection witth SAR images can be automated. In this paper, we present the algorithmic development of an automatic coastline detector for use with SAR imagery. Three main algorithms comprise the automatic coastline detection algorithm, The first algorithm considers the image pre-processing steps that must occur on the original image in order to accentuate the land/water boundary. The second algorithm automatically follows along the accentuated land/water boundary and produces a single-pixel-wide coastline. The third algorithm identifies islands and marks them. This report describes in detail the development of these three algorithms. Examples of imagery are used throughout the paper to illustrate the various steps in algorithms. Actual code is included in appendices. The algorithms presented are preliminary versions that can be applied to automatic coastline detection in SAR imagery. There are many variations and additions to the algorithms that can be made to improve robustness and automation, as required by a particular application.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM
- Sponsoring Organization:
- USDOE Office of Defense Programs (DP)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1322
- Report Number(s):
- SAND--98-2102; GC040300000; ON: DE00001322
- Country of Publication:
- United States
- Language:
- English
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