A unified model for the information content of remote sensing imagery

Brian R. Corner, Ram M. Narayanan, Stephen E. Reichenbach

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

The information content in remote sensing imagery depends upon various factors such as spatial and radiometric resolutions, spatial scale of the features to be imaged, radiometric contrast between different target types, and the type and amount of noise present in the imagery. Various statistical and textural measures are used to characterize image information content, based upon which different image processing techniques are employed to quantify this parameter. Previous work in this area have resulted in three different approaches for quantifying the image information content, primarily based on interpretability, mutual information, and entropy. These approaches, although well refined, are difficult to apply to all types of remote sensing imagery. We have developed an approach based on the use of classification accuracy to quantify image information content, since loss of information occurs if pixels in the image are wrongly classified. Using this approach, we have separately developed negative exponential models relating information content to image parameters such as spatial and spectral resolution. In this paper, we describe a preliminary unified information content model and assess its performance using hyperspectral AVIRIS imagery. The model combines the effects of the above parameters and takes into account the interrelationships between them with respect to information contained within the image. Using the model, appropriate trade-offs between the parameters can be investigated for obtaining a specific value for image information content for a particular application.

Original languageEnglish (US)
Pages1807-1809
Number of pages3
StatePublished - Jan 1 2002
Event2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada
Duration: Jun 24 2002Jun 28 2002

Conference

Conference2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
CountryCanada
CityToronto, Ont.
Period6/24/026/28/02

Fingerprint

Remote sensing
imagery
remote sensing
Spectral resolution
Image processing
Entropy
Pixels
spatial resolution
AVIRIS
spectral resolution
image processing
entropy
pixel
parameter

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Corner, B. R., Narayanan, R. M., & Reichenbach, S. E. (2002). A unified model for the information content of remote sensing imagery. 1807-1809. Paper presented at 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002), Toronto, Ont., Canada.

A unified model for the information content of remote sensing imagery. / Corner, Brian R.; Narayanan, Ram M.; Reichenbach, Stephen E.

2002. 1807-1809 Paper presented at 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002), Toronto, Ont., Canada.

Research output: Contribution to conferencePaper

Corner, BR, Narayanan, RM & Reichenbach, SE 2002, 'A unified model for the information content of remote sensing imagery', Paper presented at 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002), Toronto, Ont., Canada, 6/24/02 - 6/28/02 pp. 1807-1809.
Corner BR, Narayanan RM, Reichenbach SE. A unified model for the information content of remote sensing imagery. 2002. Paper presented at 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002), Toronto, Ont., Canada.
Corner, Brian R. ; Narayanan, Ram M. ; Reichenbach, Stephen E. / A unified model for the information content of remote sensing imagery. Paper presented at 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002), Toronto, Ont., Canada.3 p.
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