.png){kind=icon}
Return
An Efficient ISAR Imaging Method for Multiple Targets
.png){kind=icon}
OA
AI
DOI：10.2528/PIER14042905.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper proposes an efficient method to obtain TSAR images of multiple targets flying in formation. The proposed method improves the coarse alignment and segmentation of the existing method. The improved coarse alignment method models the flight trajectory using a combination of a polynomial and Gaussian basis functions, and the optimum parameter of the trajectory is found using particle swarm optimization. In the improved segmentation, the binary image of the bulk TSAR image that contains all targets is constructed using a two-dimensional constant false alarm detector, then the image closing method is applied to the binary image. Finally, the connected set of binary pixels is used to segment each target from the bulk image. Simulations using three targets composed of point scattering centers and the measured data of the Boeing747 aircraft prove the effectiveness of the proposed method to segment three targets flying in formation.
Keywords:
RANGE ALIGNMENT
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
P
IF:
9.3
Papers:
2.9K
Citations:
2.7K
Organization
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSaveShareSave no more
no more