Objective Feature Identification and Tracking: A Review
Abstract
Remote sensing of the oceans via satellites is providing useful data that can be used for realtime input into and verification of the numerical ocean models. To make an optimum use of these data, efficient methods are being developed to handle vast amounts of data and provide their quick analyses and summaries in the form of mesoscale features. Identification, isolation and tracking of mesoscale features plays an important role in numerical ocean modeling. Of late, there has been considerable interest in designing algorithms to automatically detect such oceanographic features as temperature fronts and eddies. This report provides a literature review of recent approaches and efforts on objective feature identification (OFI) as it pertains to oceanographic applications. Most of the OFI work in oceanography has been done on characterizing the Gulf Stream (GS); and since the GS incorporates all the mesoscale feature complexities that one may desire to resolve, the literature reviewed here pertains to this feature entirely. It is felt that the work cited is quite representative and is applicable to other geographical features of interest.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 15, 1994
- Accession Number
- ADA284955
Entities
People
- Harsh Anand
- Ranjit M. Passi
Organizations
- Mississippi State University