Subsurface unmixing with application to underwater classification

Miguel Vélez-Reyes; James Goodman; Samuel Rosario; Alexey M. Castrodad

doi:10.1117/12.741369

8 October 2007 Subsurface unmixing with application to underwater classification

Miguel Vélez-Reyes, James Goodman, Samuel Rosario, Alexey M. Castrodad

Proceedings Volume 6743, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2007; 674309 (2007) https://doi.org/10.1117/12.741369
Event: SPIE Remote Sensing, 2007, Florence, Italy

Abstract

Hyperspectral remote sensing is an increasingly important tool for evaluating the complex spatial dynamics associated with estuarine and nearshore benthic habitats. Hyperspectral remote sensing is being utilized to retrieve information about coastal environments, such as coastal optical water properties and constituents, benthic habitat composition, and bathymetry. Essentially, the spectral detail offered by hyperspectral instruments facilitates significant improvements in the capacity to differentiate and classify benthic habitats. A design tradeoff in the design of existing and proposed hyperspectral spaceborne platforms is that high spectral resolution comes with a price of low spatial resolution when compared to existing multispectral spaceborne sensors. The expectation is that the high spectral resolution will compensate for the reduction in spatial resolution by providing information to retrieve some of the lost spatial detail as well as other pieces of information not possible to retrieve using multispectral sensors. This paper reviews different approaches to unmixing of hyperspectral imagery over benthic habitats. Two specific methods that combine water optical properties retrieval with linear unmixing are then described and compared with a standard approach to linear unmixing over land as applied to benthic habitat unmixing. Results show that water column correction is necessary for accurate mapping and that, by removing the water column, we obtain significant improvement in retrieval of bottom fractional coverage for algae, sand and reef endmembers.

Citation Download Citation

Miguel Vélez-Reyes, James Goodman, Samuel Rosario, and Alexey M. Castrodad "Subsurface unmixing with application to underwater classification", Proc. SPIE 6743, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2007, 674309 (8 October 2007); https://doi.org/10.1117/12.741369

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