SEABED CLASSIFICATION BASED ON ISODATA ALGORITHM

ISODATA is an unsupervised dynamic clustering algorithm in statistical pattern recognition theory.The influences of standard deviations,convergence threshold and iteration number are analyzed,and smaller standard deviations and high convergence threshold is beneficial for improving classification accuracy.Based on these researches,seabed classification is carried out and tested by two experiments.