Distributed targets detection based on local spectral histograms and agents

To detect the distributed targets in SAR images of the sea, an algorithm based on local spectral histograms (LSH) and agents is proposed. The filter banks consist of the intensity filter and 36 Gaussian derivative filters at 6 orientations and 3 scales. After picking out the background images of the sea, the distribution of the difference value based on LSH is obtained. Given a probability, a threshold is achieved which will be used in judging behavior of the agent. Then an agent system is proposed, and a group of behaviors are introduced, including judging, moving, communicating, breeding, inheriting and dying behaviors. So the detection could be performed through the evolution of the agents. Several examples show that our algorithm is effective for different distributed targets.