Prof. Pei Lv Profile

Prof. Pei Lv

at Xi'an Institute of Optics & Precision Mechanics CAS

SPIE Involvement:

Author

Publications (2)

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 | 12 December 2018 Paper

Experimental study on underwater range-gated imaging system pulse and gate control coordination strategy

Wei Liu, Qi Li, Ge-yang Hao, Guo-jun Wu, Pei Lv

Proceedings Volume 10850, 108500Q (2018) https://doi.org/10.1117/12.2505587

Read Abstract +

The water has a strong absorption and scattering of light radiation, resulting in a certain depth of the underwater world in the dark. Therefore, underwater optical detection technology based on active lighting has become the main mode of deep-sea photo detection. Using a 532nm narrow-pulse laser and a self-built gain CCD system to form a underwater laser rang-gated imaging system, the forward and backward scattering are modeled and analyzed. Underwater laser rang-gated imaging system, was studied by laser pulse jitter, thus lead to the door of the control signal, the open time (earlier/later), the relationship between secondary scattering and image contrast curve, puts forward an optimal pulse with door control strategy. The correctness of the model is verified by the method of simulation and calculation of the relative ratio of the images acquired by the actual underwater laser distance gating imaging system. The results show that when the imaging system is not saturated, the image quality is best when the gate and the laser pulse are optimally matched. The effects of early opening and delayed opening on the image quality are different, and the duration of the gate opening is equal to the laser pulse width. At that time, the image quality is not optimal, and the effects of laser pulse jitter and secondary scattering are not all unfavorable. Based on the model, the opening time and the gate opening time are determined according to the contrast curve. It is generally advantageous to open the door lagging behind, and the duration of the gate opening should be 1- 3 times the laser pulse width.

Proceedings Article | 15 November 2018 Paper

Fast OMP reconstruction for compressive hyperspectral imaging using joint spatial-spectral sparsity model

Haiying Liu, Rongli Chen, Yajun Wang, Pei Lv

Proceedings Volume 10964, 109640J (2018) https://doi.org/10.1117/12.2504270

KEYWORDS: Reconstruction algorithms, Hyperspectral imaging, Computer programming, Image compression, Imaging systems, Cameras, Compressed sensing, Data modeling, Data acquisition

Read Abstract +

Hyperspectral imaging typically produces huge data volume that demands enormous computational resources in terms of storage, computation and transmission, particularly when real-time processing is desired. In this paper, we study a lowcomplexity scheme for hyperspectral imaging completely bypassing high-complexity compression task. In this scheme, compressive hyperspectral data are acquired directly by a device similar to the single-pixel camera based on the principle of compressive sensing (CS). To decode the compressive data, we propose a flexible recovery strategy by taking advantage of the joint spatial-spectral correlation model of hyperspectral images. Moreover, a thorough investigation is analytically conducted on compressive hyperspectral data and we find that the compressive data still have strong spectral correlation. To make the recovery more accurate, an adaptive spectral band reordering algorithm is directly added to the compressive data before the reconstruction by making best use of spectral correlation. The real hyperspectral images are tested to demonstrate the feasibility and efficiency of the proposed algorithm. Experimental results indicate that the proposed recover algorithm can speed up the reconstruction process with reliable recovery 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