Accession Number:

ADA229909

Title:

A Technique for Feature Labeling in Infrared Oceanographic Images

Descriptive Note:

Proceedings rept.

Corporate Author:

LOUISIANA STATE UNIV BATON ROUGE DEPT OF COMPUTER SCIENCE

Report Date:

1989-01-01

Pagination or Media Count:

9.0

Abstract:

Thermal infrared images of the ocean obtained from satellite sensors are used for the study of ocean dynamics. Mesoscale ocean information from satellite data depends to a large extent on the correct interpretation of infrared oceanographic images. The difficulty of the image analysis and understanding problem for oceanographic images is due in part to a lack of precise mathematical descriptions coupled with the time varying nature of these features and the complication that the view of the ocean surface is typically obscured by clouds. This paper describes a technique that utilizes a non-linear probabilistic relaxation method for the oceanographic feature labeling problem. A unified mathematical framework that helps solve the problem is presented. This paper highlights the advantages of using contextual information in the feature labeling algorithm. This technique makes use of an efficient edge detection algorithm based on cluster shade texture measure. This algorithm is more suitable for labeling the mesoscale features. The paper presents results of experiments conducted at Remote Sensing Branch, NORDA on the NOAA AVHRR imagery data.

Subject Categories:

  • Meteorology
  • Physical and Dynamic Oceanography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE