Open AccessSynthetic Aperture Radar Image Speckle Noise Suppression and Mine Target Detection
Author(s) -
Xiongsheng Yi,
Cailun Huang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/2/022015
Subject(s) - synthetic aperture radar , inverse synthetic aperture radar , speckle noise , computer science , radar imaging , remote sensing , noise (video) , radar , computer vision , radar lock on , side looking airborne radar , filter (signal processing) , speckle pattern , artificial intelligence , continuous wave radar , geology , image (mathematics) , telecommunications
Synthetic Aperture Radar (SAR) provides a comprehensive, all-weather target monitoring function and is widely used in the military and industrial fields of defense. This article mainly studies a landmine target detection technology based on synthetic aperture radar image processing, shallow buried mines. The detection and identification of military radar has important military significance, which can reduce the casualties caused by landmine explosions. This article first introduces the basic imaging principle of synthetic aperture radar, then introduces the noise processing of SAR images based on the Gamma filter, and finally targets the targets of mine SAR images Features were identified and analyzed.