The signal from a sidescan sonar can be readily converted to a digital image format for processing that may be helpful in data analysis and interpretation tasks. The random nature of the return signal means that information can only be extracted through reference to significant areas in the image, and characteristics vary with position in the image. Context-based image processing operations, making use of relatively large kernels, can be used to access local areas in the image and to measure local features. Such features can be used in enhancement and classification operations, and to identify regions of interest within the image. This paper broadly describes investigations into processing digitised sidescan data using these techniques.
|Title of host publication||Publication - Institution of Electronic and Radio Engineers|
|Number of pages||7|
|Publication status||Published - 1986|