Texture Models for High-Resolution Ocean Microwave Imagery

Abstract

Computer simulations of ocean passive microwave images and texture features are developed in the context of high-resolution radiometric observations. The technique is based on statistical and deterministic characterizations of spatial-variable fields (image scenes) containing ensembles of different radio-hydrophysical factors -- surface roughness, foam, whitecap, spray, and bubbles. The corresponding microwave contributions are calculated using available hydrodynamic-electromagnetic models. In particular, we employ the well known resonance model for simulations of low-contrast signatures (~2-3K) due to ocean surface roughness and macroscopic dielectric models for simulations of high-contrast signatures (~10-20K) induced by foam/whitecap. Spatial and statistical combinations of these factors, including the generation of fractal geometrical sets, allow us to model a novel class of ocean microwave textures and distinct radiometric features. Some of them have been observed and analyzed during remote sensing experiments conducted by NOAA/ETL. Examples of the texture modeling and synthesis are presented and discussed in the paper.

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Document Details

Document Type
Technical Report
Publication Date
Jul 25, 2005
Accession Number
ADA450146

Entities

People

  • Victor Raizer

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Simulations
  • Detection
  • Digital Image Processing
  • Digital Images
  • Earth Sciences
  • Experimental Data
  • High Resolution
  • Image Processing
  • Image Segmentation
  • Internal Waves
  • Microwaves
  • Remote Sensing
  • Simulations
  • Surface Roughness
  • Two Dimensional

Readers

  • Atmospheric Remote Sensing.
  • Computer Vision.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers