As the analytic study of underwater target characteristics becomes more intensive and the acoustic detection technology becomes more mature, several achievements have been attained in the field of detection and recognition modeling for underwater target based on single modal information fusion of sensor array and space information fusion of the distributed sensor array. However, only a few studies on multi-modal or deep multimodal fusion model of underwater target detection and identification methods, of which the environmental factors and many interference sources may lead to detection system performance, have been conducted. Conducting a study of detection and recognition methods of underwater target based on the deep multimodal data fusion model and a design of the measuring technique based on the seabed-base monitoring platform presents practical significance. This research make full use of the complementary relationship between acoustic modes, magnetics modes and water pressure modes, and share information to improve the recognition rate. The multi-modal kernel method for activity detection of underwater targets and the recognition model based on the multi-model information hybrid fusion with Deep-learning-based multimodal (deep multimodal) learning model in three-dimensional space in underwater acoustical environment and is developed by referencing relevant study results in the country and abroad. The algorithm and method will be optimized, and a Passive Measurement System will be designed according to the features of the model. The device obtains the best of the underwater acoustic and magnetic and pressure signals for analysis of the characteristic parameters of underwater targets. The device also tests the validity of the model and the method using offshore test data. The underwater targets are detected and recognized precisely in experimental pool. The device can offer appropriate measurement data and a new measuring technology for studies on detecting and positioning and the tracking of underwater targets, and provide new technical means and scientific reference for ocean safety supervision, exploration of ocean resources, ocean disaster pre-warning, etc. |