A multispectral spatio-temporal approach for cloud screening of remotely sensed images

Paolo Addesso; Roberto Conte; Maurizio Longo; Rocco Restaino; Gemine Vivone

doi:10.1117/12.898165

26 October 2011 A multispectral spatio-temporal approach for cloud screening of remotely sensed images

Paolo Addesso, Roberto Conte, Maurizio Longo, Rocco Restaino, Gemine Vivone

Proceedings Volume 8177, Remote Sensing of Clouds and the Atmosphere XVI; 81770R (2011) https://doi.org/10.1117/12.898165
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

Information extraction from remotely sensed images acquired in the visible and near-infrared (VNIR) frequency range strongly depends on an accurate cloud pixel screening. Indeed, many remote sensing applications require a preliminary cloud detection phase to obtain profitable results. In this paper we propose to integrate the potential of the MAP-MRF methodology with the multispectral approach for augmenting the capability of the algorithm to detect cloudy pixels. In particular the proposed technique combines information from some SEVIRI sensor channels (in particular the channels 0.64ìm, 1.6ìm, 3.9ìm, 7.3ìm and 10.8ìm) with the classification obtained by the MAP-MRF method in the 0.8ìm channel in order to discriminate between snowy and cloudy pixels. The validation is performed on challenging images of Alps mountains acquired by the SEVIRI sensor during winter months. Results show significant improvements with respect to existing methods. In particular we highlight a more precise classification at the cloud borders and a considerable reduction of unsolicited holes inside the cloud masses.u

Citation Download Citation

Paolo Addesso, Roberto Conte, Maurizio Longo, Rocco Restaino, and Gemine Vivone "A multispectral spatio-temporal approach for cloud screening of remotely sensed images", Proc. SPIE 8177, Remote Sensing of Clouds and the Atmosphere XVI, 81770R (26 October 2011); https://doi.org/10.1117/12.898165

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