2 results about "Ocean wave height" patented technology

The application provides a sea wave height prediction method and device based on a physical guidance dynamic graph Mamba network, belongs to the technical field of sea wave height prediction, adopts a selective scanning mechanism of a state space model, thereby reconstructing a calculation paradigm of time series modeling, enabling the state space model to adaptively determine which historical information to retain and which noise to discard according to current marine environment characteristics, and realizing time series modeling with linear calculation complexity. In the condition of rapidly changing weather, the discrete parameter Δ value increases, the model pays more attention to recent information; in the condition of stability, the Δ value decreases, the model retains more historical information, and thus the purpose of guaranteeing calculation efficiency and improving prediction accuracy is achieved, the technical problem that long sequence modeling efficiency and precision are difficult to consider is overcome, the technical inertia that serial calculation or quadratic complexity calculation must be used in the traditional technology is broken, and a physical perception graph learner is used as a solution mechanism, thereby reconstructing a space relationship modeling method.

This invention relates to a method for maritime target detection based on embodied cognition enhancement under harsh environmental conditions, comprising: acquiring relevant data and extracting interference feature maps; constructing a historical information map to generate an environment-target baseline; generating embodied feature vectors and dynamically compensating the fused data to obtain a stable image; correcting the stable image using baseline preprocessing parameters, and obtaining an enhanced image by combining the interference map with adaptive exposure, wavelet denoising, and polarized light filtering; generating an initial region of interest based on the high-frequency region of the baseline, determining the dynamic sensitive region by combining the heading priority direction and wave height, performing super-resolution reconstruction and contrast enhancement, and reducing the frame rate of non-sensitive regions; constructing a hybrid detection model, based on an improved target detection algorithm, and correcting the confidence level based on the historical accuracy matrix, deblurring strong wind swaying and fusing multiple frames obscured by heavy rain, and outputting the detection result. Compared with existing technologies, this invention has the advantages of improving the accuracy of maritime target detection under harsh marine environmental conditions.