Optical sea clutter suppression method based on time space chaos

Abstract

An optical sea clutter suppression method based on time space chaos comprises the following steps of: selecting image intensities of the same positions of sea clutter optical images to form a sea clutter time sequence; selecting a column of image intensities along the wave motion direction to form a sea clutter space sequence; respectively verifying the chaos of sea clutter in a time domain and in a spatial domain, wherein the verifying method specifically comprises the step of respectively calculating time delay, association dimensions and maximum Lyapunov indexes of the data sequences; carrying out nerve network prediction of a training radial basis function respectively on the data sequences of the time domain and the spatial domain; carrying out linearity fitting by using two predicted values and a reality value, and obtaining a coupling coefficient; adopting a least square support vector machine-coupled map lattice algorithm to construct a prediction function and obtaining a predicted value; and the carrying out clutter cancellation on the predicted value and the reality value. According to the invention, the sea clutter is suppressed by a time domain and spatial domain combined prediction algorithm, and the inaccuracy in existing time domain chaos mechanism prediction is overcome.

Description

technical field [0001] The invention relates to a new method in the technical field of image processing, which is a core technology for shipboard photoelectric imaging detection and tracking of sea targets, and is widely used in various military and civilian systems. Background technique [0002] Compared with the radar system, the shipborne photoelectric imaging detection and tracking system has the advantages of passive concealment, strong anti-interference, and high tracking accuracy. It is an important means of tracking long-distance ship targets and sea-skimming attack missiles. Information such as signal-to-noise ratio and contrast of photoelectric images will change dynamically in time and space with sea clutter. When the sea clutter or fish scale light is strong, there are a large number of wave crests in the photoelectric image whose gray intensity is close to or even larger than the target, which seriously restricts the detectability of weak and small targets on th...

AI Technical Summary

Problems solved by technology

However, sea clutter often changes in time or space, and has strong non-stationary characteristics. This time-varying characteristic of sea clutter makes it difficult to fully describe the inherent nature of sea clutter by statistical analysis methods that regard sea clutter as a random process. physical nature

Spatial filtering is also the main means of suppressing sea clutter, such as wavelet analysis and gray-scale morphology filters, based on the target signal as the high-frequency component of the image, suppressing strong spatial correlation and low-frequency sea clutter, and it is difficult to distinguish fish scales High-frequency components of images such as light

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