A Hierarchical Analysis-Based Method for Classification of Ship Targets in Spaceborne SAR Images

Abstract

The invention provides a method for classifying ship targets in spaceborne SAR images based on hierarchical analysis. The technical solution includes the following steps: the first step, based on the feature ranking of the training set, according to the importance of the three evaluation criteria of separability, stability and best individual features, the importance scores of various features are calculated according to Sorting from large to small; the second step, optimal feature selection, increasing the number of features in turn to form a feature set to classify the training set; the third step, target classification, based on each optimal feature set, forming a classification result vector ; Weight the classification result vectors, and select the one with the highest probability as the final classification result. 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, and can optimize ship features and feature sets suitable for ship target classification, effectively improving ship target classification. classification accuracy.

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...

AI Technical Summary

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

Images