Mr. Tao Zheng Profile

Tao Zheng

at Huazhong Univ of Science and Technology

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 4 October 2017 Paper

A high resolution imaging algorithm for synthetic aperture interferometric radiometers in near-field

Tao Zheng, Fei Hu, Feng He, Xiaohui Peng, Hao Hu

Proceedings Volume 10427, 104271H (2017) https://doi.org/10.1117/12.2277909

KEYWORDS: Near field, Visibility, Interferometry, Antennas, Radiometry, Image resolution, Image processing, Image restoration, Synthetic aperture radar, Temperature metrology

Read Abstract +

Synthetic aperture interferometric radiometers (SAIR) has been introduced to threat detection for high spatial resolution and no harm to human body. Usually, the SAIR security instrument is about 3 meters away from human body, which means that the SAIR works at near-field and the relationship between the visibility and the brightness temperature is no longer Fourier Transform. The contours and details of prohibited items are blurry in rebuild image by the traditional inversion method, such as Moore-Penrose method and Tikhonov regularization, so it is difficult to identify prohibited items. In this study, a regularization model based on gradient L1 norm minimization is proposed. In image processing, the contour can be regarded as a marker line where the brightness temperature changes sharply along the vertical direction. So, the gradient filed of the brightness temperature map is appropriate to quantify the contours. And the L1 norm minimization model is able to guarantee the inversion accuracy and enhance the contour. Simulation for SAIR is performed to validate the contour enhancement imaging method. A complex scene consisting of many small regions with different shape and brightness temperature value corresponding to different prohibited items is created. The reconstructed image by proposed method is compared with the results by Moore-Penrose method and Tikhonov regularization. The proposed method shows better reconstructed image quality.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years