Ms. Ying Liu Profile

Ying Liu

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 | 24 November 2014 Paper

A hyperspectral anomaly detection algorithm based on orthogonal subspace projection

Ying Liu, Kun Gao, Lijing Wang, Youwen Zhuang

Proceedings Volume 9301, 93012E (2014) https://doi.org/10.1117/12.2072616

KEYWORDS: Detection and tracking algorithms, Target detection, Hyperspectral imaging, Hyperspectral target detection, Binary data, Remote sensing, Image processing, Spectroscopy, Algorithms, Lithium

Read Abstract +

The orithogonal subspace projection (OSP) method needs all the endmember spectral information of observation area which is usually unavailable in actual situation. In order to extend the application of OSP method, this paper proposes an algorithm without any priori information based on OSP. Firstly, the background endmember spectral matrix is obtained by using unsupervised method. Then, the OSP projection operator is calculated with the background endmember matrix. Finally, the detection operator is constructed by using the projection operator, which is used to detect the hyperspectral imagery pixel by pixel. In order to increase the detection rate, local processing is proposed for anomaly detection with no prior knowledge. The algorithm is tested with AVIRIS hyperspectral data, and binary image of targets and ROC curves are given in the paper. Experimental results show that the proposed anomaly detection method based on OSP is more effective than the classic RX detection algorithm under the case of insufficient prior knowledge, and the detection rate is significantly increased by using the local processing.

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