Resolution enhancement of hyperspectral data using multispectral imagery

Michael E. Winter; Edwin M. Winter; Scott G. Beaven

doi:10.1117/12.830231

9 September 2009 Resolution enhancement of hyperspectral data using multispectral imagery

Michael E. Winter, Edwin M. Winter, Scott G. Beaven

Proceedings Volume 7473, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2009; 74730F (2009) https://doi.org/10.1117/12.830231
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

Hyperspectral imagers tend to have lower spatial resolution than multispectral ones. This often results in a (sometimes difficult) trade-off between spectral and spatial resolution. We have developed a technique, called CRISP, that combines low-resolution hyperspectral data and high-resolution multispectral data to produce high quality, high-resolution hyperspectral data. This technique shows good quantitative performance when applied to realistic applications such as land cover estimation and anomaly detection. As a test of this technique, we have performed an experiment using HyMap hyperspectral data and multispectral instruments over the coast waters of Oahu, Hawaii. The accuracy of the CRISP sharpening approach when used for coastal applications such as depth mapping is assessed.

Citation Download Citation

Michael E. Winter, Edwin M. Winter, and Scott G. Beaven "Resolution enhancement of hyperspectral data using multispectral imagery", Proc. SPIE 7473, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2009, 74730F (9 September 2009); https://doi.org/10.1117/12.830231

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