Detecting schools on multibeam data

Before you begin

See About 3D schools detection for an overview before detecting schools.

Consider using one of the many multibeam operators available for preparing data. This may help to significantly improve the schools you detect. For example, you might wish to create a virtual echogram using the beam closing filter if the data representing the school(s) contains a lot of holes. See Multibeam convolution operators for some of the effects you might achieve.

Note: If you are using data from a scanning sonar using instrument scanning then you should prepare your instrument scanning data for schools detection before continuing.

Detecting schools

To detect schools on multibeam data:

  1. Display the multibeam echogram from which you wish to detect schools.

  2. Apply a Minimum data threshold (and optionally a Maximum data threshold) on the Data page of the Variable Properties dialog box until the data that you believe represent the school(s) are clearly visible and distinct from the background noise on the multibeam echogram.

  3. On the Echogram menu, click Detect schools.

  4. On the Detect 3D Schools dialog box, complete the settings on each page (the settings you enter can have performance implications).

    1. If you have selected the Cruise scanning algorithm make sure your data meets any restrictions imposed by that algorithm.
      If you have selected the Instrument scanning algorithm make sure your data meets any restrictions imposed by that algorithm.
      If you have selected the Target-locked scanning algorithm make sure your data meets any restrictions imposed by that algorithm.
      If you have selected the By ping algorithm make sure your data meets any restrictions imposed by that algorithm.
  5. Click Detect.
    Note:
    The detection process can take quite a long time. When it is complete, a message is displayed to notify you of how many schools were detected.

  6. One or more new 3D regions (possibly with vacuoles) are created (one for each detected school).

Notes:

See also:

About 3D schools detection
Creating 3D regions

3D Schools detection algorithms

Preparing instrument scanning data for 3D schools detection