Analytic-hierarchy-process-based classification method for ship targets in space-borne SAR image

Abstract

Provided in the invention is an analytic-hierarchy-process-based classification method for ship targets in a space-borne synthetic aperture radar (SAR) image. According to the technical scheme, the method comprises the following steps: training-set-based feature ordering; to be specific, carrying out ordering processing on importance score values of various features in descending order according to importance degrees of three kinds of evaluation measurement criteria including the separability, stability, and best individual feature; step two, optimum feature selection; to be specific, increasing the number of features successively to form a feature set and classifying the training set; and step three, target classification; to be specific, on the basis of each optimum feature set, forming a classification result vector; and carrying out weighting processing on the classification result vector and selecting one result with the highest probability as a final classification result. With the method, a problem that the existing space-borne SAR image ship target feature selection and classification decision are lack of an effective evaluation criterion can be solved; ship features suitable for best ship target classification and a feature set thereof are selected; and thus the ship target classification precision is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of SAR (Synthetic Aperture Radar, synthetic aperture radar) image target recognition, and relates to a space-borne SAR image ship target classification method based on Analytic Hierarchy Process (AHP). Background technique [0002] At present, there are many researches on ship target detection in spaceborne SAR images at home and abroad, but less research on ship target classification and recognition. The ship target classification method based on multi-features has been paid more and more attention than the single-feature-based ship target classification method, but there is often a lack of objective evaluation criteria for ship target feature selection and evaluation of classification performance. [0003] The scattering characteristics of ship targets in spaceborne SAR images are affected by many factors, including meteorology, image resolution, speed, heading, ship size and materials, etc. For non-metal...

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Problems solved by technology

[0005] The present invention effectively solves the problem of lack of effective evaluation criteria in the current spaceborne SAR image ship target feature selection and classification decision-making by applying the idea of ​​hierarchical analysis to feature selection and ship classification decision-making, and can select suitable ships Ship features and feature sets for ship target classification, effectively improving the accuracy of ship target classification

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