Effects of uncorrelated and correlated noise on image information content

Ram Mohan Narayanan, Sudhir K. Ponnappan, Stephen E. Reichenbach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

The information content in remote sensing imagery depends upon various factors such as spatial and radiometric resolutions, radiometric contrast between different target types, and also the final application for which the imagery has been acquired. Our approach to quantifying image information content is based upon classification accuracy. As noise is added to the image, the classification accuracy reduces, thereby resulting in loss of "information". The relationship between the information content and the noise variance can be described by a negative exponential model. The model is seen to be applicable for relating the information content to noise variance for Landsat TM as well as multi-look and single-look SIR-C imagery. We observe that the relationship is independent of the type of noise (Gaussian, Rayleigh, or Gamma). However, the rate of information loss increases with the correlation distance in the case of spatially correlated noise. The rate of information loss also increases with the number of classes chosen for classifying the scene. The model is useful in deducing allowable signal-to-noise ratios (SNRs) for different sensor systems.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Pages1898-1900
Number of pages3
Volume4
StatePublished - 2001
Event2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australia
Duration: Jul 9 2001Jul 13 2001

Other

Other2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)
CountryAustralia
CitySydney, NSW
Period7/9/017/13/01

Fingerprint

imagery
Remote sensing
Signal to noise ratio
Sensors
SIR
effect
Landsat thematic mapper
signal-to-noise ratio
sensor
remote sensing
loss
rate

All Science Journal Classification (ASJC) codes

  • Software
  • Geology

Cite this

Narayanan, R. M., Ponnappan, S. K., & Reichenbach, S. E. (2001). Effects of uncorrelated and correlated noise on image information content. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 4, pp. 1898-1900)
Narayanan, Ram Mohan ; Ponnappan, Sudhir K. ; Reichenbach, Stephen E. / Effects of uncorrelated and correlated noise on image information content. International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 4 2001. pp. 1898-1900
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Narayanan, RM, Ponnappan, SK & Reichenbach, SE 2001, Effects of uncorrelated and correlated noise on image information content. in International Geoscience and Remote Sensing Symposium (IGARSS). vol. 4, pp. 1898-1900, 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001), Sydney, NSW, Australia, 7/9/01.

Effects of uncorrelated and correlated noise on image information content. / Narayanan, Ram Mohan; Ponnappan, Sudhir K.; Reichenbach, Stephen E.

International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 4 2001. p. 1898-1900.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Narayanan RM, Ponnappan SK, Reichenbach SE. Effects of uncorrelated and correlated noise on image information content. In International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 4. 2001. p. 1898-1900