Territorial analysis by fusion of LANDSAT and SAR data

Gianni L. Vernazza; Carlo Dambra; Francesco Parizzi; Fabio Roli; Sebastiano Bruno Serpico

doi:10.1117/12.45848

1 September 1991 Territorial analysis by fusion of LANDSAT and SAR data

Gianni L. Vernazza, Carlo Dambra, Francesco Parizzi, Fabio Roli, Sebastiano Bruno Serpico

Proceedings Volume 1492, Earth and Atmospheric Remote Sensing; (1991) https://doi.org/10.1117/12.45848
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

A highly informative content makes visible and infrared images the most used remotely sensed data (generally speaking) in earth resource and environmental analysis. On the other hand, sensitivity to surface roughness, water content, and independence of weather conditions and sunlight are the features that justify the growing interest and use of microwave radar data. The previous considerations clearly indicate data fusion as a key point for remote-sensing image classification. In this paper, a knowledge-based system to exploit such numerous and diverse sources of information is proposed. The authors started with the problem of fusing Landsat- MSS and Seasat-SAR images for terrain classification in order to increase the reliability of results with respect to single-sensor analysis. A new approach to the fusion of 2-D images, called the ''region overlapping'' technique, is employed, and its advantages for terrain classification are shown. Experimental results are presented and discussed to show the interest of the approach.

Citation Download Citation

Gianni L. Vernazza, Carlo Dambra, Francesco Parizzi, Fabio Roli, and Sebastiano Bruno Serpico "Territorial analysis by fusion of LANDSAT and SAR data", Proc. SPIE 1492, Earth and Atmospheric Remote Sensing, (1 September 1991); https://doi.org/10.1117/12.45848

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