Abstract:

To detect the sea distributed targets in SAR images, a top and bottom multiagent system (TBMAS) using local histograms is proposed. According to the human recognizing progress, different behaviors of the top Agents and the bottom ones are defined respectively. Bottom Agents get the primary optical features, while by imagining and prelinking behaviors top Agents obtain the final detection result. Considering the local statistics features of the distributed targets, local histograms and KL divergence are used to analyze the different measure without statistics models and parameter estimation. Experiments show that the method is quite effective for several different kinds of distributed targets.