A Set of New Sea Ice Feature Descriptors for SAR Images

Abstract

In this paper, we present a set of algorithms for describing sea ice features in SAR images. These algorithms we have implemented and incorporated in the ARKTOS software package, an intelligent sea ice classification. These algorithms have unique characteristics. Some are extensions or adaptations of existing image processing techniques to the specific problem domain of satellite sea ice classification, while some are innovative designs, inspired by the aforementioned problem domain. These feature descriptors may be generalized to other remote sensing applications.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA461182

Entities

People

  • Leen-kiat Soh

Organizations

  • University of Nebraska-Lincoln Department of Computer Science and Engineering

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Automata Theory
  • Change Detection
  • Computer Science
  • Detection
  • Digital Image Processing
  • Engineering
  • Ice
  • Image Processing
  • Images
  • Pattern Recognition
  • Regions
  • Remote Sensing
  • Sea Ice
  • Shape
  • Synthetic Aperture Radar
  • Water

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Neural Network Machine Learning.
  • Polar and Arctic Studies

Technology Areas

  • Space
  • Space - Space Objects