Ja. Kalogiros et al., A LAYER DETECTION AND CLASSIFICATION ALGORITHM FOR SODAR FACSIMILE RECORDS, International journal of remote sensing, 16(15), 1995, pp. 2939-2954
This paper describes an application of image processing and pattern re
cognition techniques for the detection and classification of the layer
echo structure within a window of a facsimile record of a monostatic
acoustic sounder (sodar). The algorithm identifies automatically the u
pper and lower boundary of every layer in a facsimile record, even if
it is a complex pattern. Consequently, it uses the boundaries of the l
ayers to extract the classification features. This technique provides
quantitative information for a facsimile record and follows a differen
t approach than previous classification schemes that classify the reco
rd manually according to predetermined patterns. The algorithm was dev
eloped and tested using data collected by two different types of sodar
under various meteorological conditions. An overall skill better than
90 per cent of the cases was achieved. The algorithm experienced some
difficulty identifying the thermal structure over transitional atmosp
heric conditions, during which there is no distinct layer structure.