Exploring pattern recognition enhancements to ACSPO clear-sky mask for VIIRS: potential and limitations

Irina Gladkova; Yury Kihai; Alexander Ignatov; Fazlul Shahriar; Boris Petrenko

doi:10.1117/12.2053474

23 May 2014 Exploring pattern recognition enhancements to ACSPO clear-sky mask for VIIRS: potential and limitations

Irina Gladkova, Yury Kihai, Alexander Ignatov, Fazlul Shahriar, Boris Petrenko

Proceedings Volume 9111, Ocean Sensing and Monitoring VI; 91110G (2014) https://doi.org/10.1117/12.2053474
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Discriminating clear-ocean from cloud in the thermal IR imagery is challenging, especially at night. Thresholds in automated cloud detection algorithms are often set conservatively leading to underestimation of the Sea Surface Temperature (SST) domain. Yet an expert user can visually distinguish the cloud patterns from SST. In this study, available pattern recognition methodologies are discussed and an automated algorithm formulated. Analyses are performed with the SSTs retrieved from the VIIRS sensor onboard S-NPP using the NOAA ACSPO system. Based on the analyses of global data, we have identified low-level spectral and spatial features potentially useful for discriminating cloud from clear-ocean. The algorithm attempts to mimic the visual perception by a human operator such as gradient information, spatial connectivity, and high/low frequency discrimination. It first identifies contiguous areas with similar features, and then makes decision based on the statistics of the whole region, rather than on a per pixel basis. Our initial objective was to automatically identify clear sky regions misclassified by ACSPO as cloud, and improve coverage of dynamic areas of the ocean and coastal zones.

Citation Download Citation

Irina Gladkova, Yury Kihai, Alexander Ignatov, Fazlul Shahriar, and Boris Petrenko "Exploring pattern recognition enhancements to ACSPO clear-sky mask for VIIRS: potential and limitations", Proc. SPIE 9111, Ocean Sensing and Monitoring VI, 91110G (23 May 2014); https://doi.org/10.1117/12.2053474

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