Mr. Zhuang Li Profile

Zhuang Li

at Harbin Institute of 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 2023 Presentation + Paper

Hyperspectral anomaly detection via spectral difference extraction

Zhuang Li, Ye Zhang

Proceedings Volume 12674, 1267405 (2023) https://doi.org/10.1117/12.2682681

KEYWORDS: Hyperspectral imaging, Target detection, Image processing, Spatial resolution, Remote sensing

Read Abstract +

Hyperspectral anomaly detection is an active topic in remote sensing application research. Researchers have proposed many detection methods based on spatial differences to detect anomaly targets. However, due to the low spatial resolution of images or human manipulation, the spatial differences of targets in practical applications are not enough to provide reliable support, which reduces the accuracy of anomaly detection. In order to solve this problem and take advantage of high spectral resolution unique to hyperspectral images, this paper proposes the hyperspectral anomaly detection method based on spectral difference extraction. Specifically, spectral derivatives are introduced to extract bands with spectral differences between the tested pixels and surrounding sample pixels to form a combined image, and the corresponding Mahalanobis distance is calculated to obtain suspected anomaly results. Then, the suspected anomaly results are subjected to anomaly assessment on the suspected anomaly part through the kurtosis value to obtain the final detection result. In addition, this paper obtains the corresponding suspected anomaly part in the suspected anomaly results through the corresponding atoms in the background dictionary. Experiments applied on the real datasets show the effectiveness of the proposed method compared with other state-of-the-art methods.

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