ISAR geometry, signal model, and image processing algorithms

Inverse synthetic aperture radar (ISAR) technique provides high-resolution images of observed moving objects. However, shadow-occluded effects and noise, which results in lack of fractions of the object geometry, often corrupt ISAR images. To facilitate the image analysis and to solve the target ide...

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Vydané v:IET radar, sonar & navigation Ročník 11; číslo 9; s. 1425 - 1434
Hlavní autori: Lazarov, Andon, Minchev, Chavdar
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: The Institution of Engineering and Technology 01.09.2017
Predmet:
high‐resolution images
image analysis
image processing algorithms
image resolution
inverse synthetic aperture radar technique
ISAR geometry
ISAR images
linear frequency modulated signal modelling
object recognition
radar imaging
radar resolution
Research Article
shadow‐occluded effects
signal model
silhouette contour line
synthetic aperture radar
target identification problem
target recognition process
object recognition
target identification problem
signal model
inverse synthetic aperture radar technique
silhouette contour line
image analysis
image processing algorithms
synthetic aperture radar
shadow-occluded effects
ISAR geometry
ISAR images
radar resolution
radar imaging
high-resolution images
image resolution
target recognition process
linear frequency modulated signal modelling
ISSN:1751-8784, 1751-8792
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Popis
Shrnutí:Inverse synthetic aperture radar (ISAR) technique provides high-resolution images of observed moving objects. However, shadow-occluded effects and noise, which results in lack of fractions of the object geometry, often corrupt ISAR images. To facilitate the image analysis and to solve the target identification problem in most practical applications additional image-processing procedures are strongly required. The aim of the present research is based on ISAR geometry and signal modelling to develop procedures improving quality of images and extract the silhouette contour line of the ISAR image, the main geometric parameter in the target recognition process. The problem is solved in two main stages. First, ISAR geometric parameters are described and expressions for linear frequency modulated signal modelling and imaging are derived. Second, image-processing algorithms for ISAR image improving and contour line extraction are developed. All stages of image-processing and reconstructing algorithms are illustrated by results of numerical experiments.
ISSN:1751-8784
1751-8792
DOI:10.1049/iet-rsn.2017.0081