Destriping Satellite Images,

Abstract

Before satellite images obtained with multiple image sensors can be used in image analysis, corrections must be introduced for the differences in transfer functions of these sensors. Methods are here presented for obtaining the required information directly from the statistics of the sensor outputs. The assumption is made that the probability distribution of the scene radiance seen by each image senosr is the same. Successful destriping of LANDSAT images is demonstrated. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1978
Accession Number
ADA062263

Entities

People

  • B. K. P. Horn
  • R. J. Woodham

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Satellites
  • Computer Graphics
  • Detectors
  • Digital Data
  • Distribution Functions
  • Image Processing
  • Images
  • Long Wavelengths
  • Probability
  • Probability Density Functions
  • Probability Distribution Functions
  • Probability Distributions
  • Random Variables
  • Standards
  • Statistics
  • Transfer Functions

Fields of Study

  • Physics

Readers

  • Computer Vision.

Technology Areas

  • Space