Ms. Yiran Wang Profile

Yiran Wang

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 | 1 September 2015 Paper

An improved full automated endmember extraction algorithm based on endmember independence

Yiran Wang, Shengwei Zhong, Ye Zhang

Proceedings Volume 9611, 961116 (2015) https://doi.org/10.1117/12.2187865

KEYWORDS: Hyperspectral imaging, RGB color model, Signal processing, Detection and tracking algorithms, Statistical modeling, Data modeling, Vegetation, Mathematical modeling, Information technology, Minerals

Read Abstract +

Current algorithms of endmember extraction generally need to determine the number of endmembers manually. However, the number of endmembers is unknown in practical application, so an automated and iterative endmember extraction algorithm is put forward in this paper to solve the problem. Firstly, due to the spectral information of endmember is similar with its neighbors but noise is independent with others, we analyze the relevance between pixels and endmember in the concentric sliding window centered at each test endmember in order to eliminate the influence of noise. Then, due to the independence among endmembers, a candidate set formed of endmembers which have been extracted is constructed. We compute the correlation between the new endmember and the candidates in the set each time, if the largest correlation is small; the new one is added to the set. If the new one fails to join the set directly, we can take it to replace the existed in the set to increase the distance among endmembers. Finally, if the endmembers in the set remain unchanged in a few times, the iteration stops. The experiment shows that the improved algorithm have a near accuracy of endmember extraction with the traditional algorithm, meanwhile it weakens the influence of noise on the endmember extraction.

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