Synthetic aperture radar (SAR) target detection false alarm elimination method based on priori scene knowledge

Abstract

The invention discloses a synthetic aperture radar (SAR) target detection false alarm elimination method based on priori scene knowledge, wherein the SAR target detection false alarm elimination method mainly settles a problem of large number of SAR image target detection false alarms in a complex scene. The SAR target detection false alarm elimination method comprises the following steps of (1) inputting an original SAR image, performing down-sampling twice and mean filtering on the original SAR image; (2) performing area growth on the SAR image after preprocessing, eliminating an object-sized communicating area which are not grown out, and using the rest non-grown-out communicating area as the area to be classified; (3) selecting a training sample, performing classification on the area to be classified, and obtaining an area in which an object impossibly exists; and (4) eliminating the false alarm that is detected in the area in which the object impossibly exists, and obtaining a result image. The SAR target detection false alarm elimination method can effectively reduce detection of false alarm in the complex scene and can be used for afterprocessing in detection of the SAR image target.

Description

technical field [0001] The invention belongs to the technical field of radar target recognition, in particular to a method for removing false alarms in SAR target detection, which can be used for post-processing of SAR image target detection. Background technique [0002] Synthetic Aperture Radar (SAR) is an active sensor that uses microwaves for perception. It has the characteristics of all-weather, all-time, high resolution, and strong penetration. It has become an important means of earth observation and military reconnaissance. Since the 1950s, radar imaging technology has become more and more mature, and imaging resolution has been continuously improved, which makes SAR image target detection and recognition technology receive more and more attention. [0003] The existing SAR image target detection algorithm has a poor detection effect on targets in complex scenes, and will detect a large number of false alarms, reducing the accuracy of subsequent identification and re...

AI Technical Summary

Problems solved by technology

Since the existing target detection methods do not consider the relationship between the target and the environment, it is possible to detect suspected ship targets on land, detect suspected aircraft targets in non-airport areas, and detect suspected aircraft targets in areas where there are no vehicles such as trees and buildings. Suspected vehicle targets, resulting in too many false alarms in SAR target detection in complex scenes

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