Adaptive multiresolution quantization for contextual information gain in SAR sea ice images

Leen Kiat Soh, Costas Tsatsoulis

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In this paper we describe an adaptive multiresolution technique that quantizes SAR sea ice images to improve contextual information such as the spatial, relational make up of ice types in a region. First, we use dynamic local thresholding to extract regional intensity threshold values from which a histogram is constructed. Next, we blur the threshold histogram with varying window sizes to build a multiresolution contour map. We identify peaks based on a cumulative distribution function and track each peak on the contour map to assess its significance. Then, for each significant peak identified, we cluster the threshold values extracted during dynamic local thresholding using nearest-neighbors to establish sets of threshold values. Finally, we assign a pixel its quantization value by comparing its original intensity to the set that it belongs to. The technique handles noise and preserves contexts, ensuring a consistent and smooth quantization of the image. We have applied the technique to a large number of ERS-1, ERS-2, and RADARSAT images to obtain quantized representation of the images for contextual information gain. We have also embedded the technique in an unsupervised sea ice segmentation tool that has been installed at the National Ice Center and the Canadian Ice Service.

Original languageEnglish (US)
Pages1567-1569
Number of pages3
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' - Hamburg, Ger
Duration: Jun 28 1999Jul 2 1999

Other

OtherProceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century'
CityHamburg, Ger
Period6/28/997/2/99

Fingerprint

Sea ice
Ice
sea ice
synthetic aperture radar
contour map
histogram
ice
Distribution functions
RADARSAT
Pixels
segmentation
pixel
threshold value
ERS

ASJC Scopus subject areas

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

Cite this

Soh, L. K., & Tsatsoulis, C. (1999). Adaptive multiresolution quantization for contextual information gain in SAR sea ice images. 1567-1569. Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger, .

Adaptive multiresolution quantization for contextual information gain in SAR sea ice images. / Soh, Leen Kiat; Tsatsoulis, Costas.

1999. 1567-1569 Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger, .

Research output: Contribution to conferencePaper

Soh, LK & Tsatsoulis, C 1999, 'Adaptive multiresolution quantization for contextual information gain in SAR sea ice images', Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger, 6/28/99 - 7/2/99 pp. 1567-1569.
Soh LK, Tsatsoulis C. Adaptive multiresolution quantization for contextual information gain in SAR sea ice images. 1999. Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger, .
Soh, Leen Kiat ; Tsatsoulis, Costas. / Adaptive multiresolution quantization for contextual information gain in SAR sea ice images. Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger, .3 p.
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