Differential Geometric Tools for Image Sensor Fusion

Abstract

We present a new formalism for the treatment and understanding of multispectral images and multisensor imagery based on first order contrast information. Although little attention has been paid to the utility of multispectral contrast, we develop a theory for multispectral contrast that enables us to produce an optimal grayscale visualization of the first order contrast of an image with an arbitrary number of bands. We demonstrate how our technique can reveal significantly more interpretive information to an image analyst, who can use it in a number of image understanding algoritums. Existing grayscale visualization strategies are reviewed. A variety of experimental results are presented to support the performance of the new method.

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Document Details

Document Type
Technical Report
Publication Date
Aug 31, 1999
Accession Number
ADA386907

Entities

People

  • Lawrence B. Wolff

Tags

Communities of Interest

  • Biomedical
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computations
  • Computer Vision
  • Contrast
  • Coordinate Systems
  • Data Analysis
  • Detectors
  • Diagnostic Imaging
  • Equations
  • Image Processing
  • Multispectral
  • Remote Sensing
  • Sensor Fusion
  • Statistics
  • Target Recognition
  • Visualizations

Readers

  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.
  • Systems Analysis and Design