Joint spectral and spatial preprocessing prior to endmember extraction from hyperspectral images

Gabriel Martín; Antonio Plaza

doi:10.1117/12.892286

16 September 2011 Joint spectral and spatial preprocessing prior to endmember extraction from hyperspectral images

Gabriel Martín, Antonio Plaza

Proceedings Volume 8157, Satellite Data Compression, Communications, and Processing VII; 81570U (2011) https://doi.org/10.1117/12.892286
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

Hyperspectral unmixing is a very important task for remotely sensed hyperspectral data exploitation. It amounts at estimating the abundance of pure spectral signatures (called endmembers) in each mixed pixel of the original hyperspectral image, where mixed pixels arise due to insufficient spatial resolution and other phenomena. A challenging problem in spectral unmixing is how to automatically derive endmembers from hyperspectral images, particularly due to the presence of mixed pixels which generally prevents the localization of pure spectral signatures in transition areas between different land-cover classes. A possible strategy to address this problem is to guide the endmember extraction process to spatially homogeneous areas. For this purpose, several preprocessing methods (intended to be applied prior to the endmember extraction stage) have been developed in the literature. However, most of these methods only include spatial information during the preprocessing and disregard spectral information until the subsequent endmember extraction stage. In this paper, we develop a new joint spatial and spectral preprocessing method which can be combined with any endmember extraction algorithm from hyperspectral images. The proposed method is intended to retain spectrally pure pixels which belong to spatially homogeneous areas. Our assumption is that spectrally pure signatures are more likely to be found in spatially homogeneous areas rather than in transition areas between different land-cover classes, which are expected to be dominated by mixed pixels. Our experimental results, conducted with a variety of hyperspectral images, reveal the robustness of the proposed method when compared to other similar preprocessing strategies.

Citation Download Citation

Gabriel Martín and Antonio Plaza "Joint spectral and spatial preprocessing prior to endmember extraction from hyperspectral images", Proc. SPIE 8157, Satellite Data Compression, Communications, and Processing VII, 81570U (16 September 2011); https://doi.org/10.1117/12.892286

ACCESS THE FULL ARTICLE

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