Interactive analysis of large scale multi-spectral images using a Hilbert curve

Michiharu Niimi, Seiichiro Kamata, Eiji Kawaguchi

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

Abstract

There have been some new developments of an interactive analysis for the multi-spectral images. Recently the authors have proposed an interactive analysis method for classification using a Hilbert curve which is a one-to-one mapping and takes a neighborhood between N-dimensional space and one-dimensional space into consideration. In order to analyze large scale multi-spectral images, we divide a large scale image into subimages which can be analyzed using our proposed method. A problem is that after classifying one of the subimages, how we classify the rest of the subimages using this result effectively. We present a solution of this problem using a tree structure expression. We assign a reliability measure to each pixels on the rest. The reliability measure is based on a distance from a center of a cluster, and the center is considered occurrence information. For the low reliable data, we apply our interactive analysis method for classification again. In the experiment using a LANDSAT image data, We confirmed the effectiveness of the reliability measure because category boundaries on the rest have lower reliability.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Editors Anon
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages1017-1019
Number of pages3
Volume2
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3) - Firenze, Italy
Duration: 1995 Jul 101995 Jul 14

Other

OtherProceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3)
CityFirenze, Italy
Period95/7/1095/7/14

Fingerprint

multispectral image
pixel
Pixels
method
analysis
experiment
Experiments

ASJC Scopus subject areas

  • Software
  • Geology

Cite this

Niimi, M., Kamata, S., & Kawaguchi, E. (1995). Interactive analysis of large scale multi-spectral images using a Hilbert curve. In Anon (Ed.), International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 2, pp. 1017-1019). Piscataway, NJ, United States: IEEE.

Interactive analysis of large scale multi-spectral images using a Hilbert curve. / Niimi, Michiharu; Kamata, Seiichiro; Kawaguchi, Eiji.

International Geoscience and Remote Sensing Symposium (IGARSS). ed. / Anon. Vol. 2 Piscataway, NJ, United States : IEEE, 1995. p. 1017-1019.

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

Niimi, M, Kamata, S & Kawaguchi, E 1995, Interactive analysis of large scale multi-spectral images using a Hilbert curve. in Anon (ed.), International Geoscience and Remote Sensing Symposium (IGARSS). vol. 2, IEEE, Piscataway, NJ, United States, pp. 1017-1019, Proceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3), Firenze, Italy, 95/7/10.
Niimi M, Kamata S, Kawaguchi E. Interactive analysis of large scale multi-spectral images using a Hilbert curve. In Anon, editor, International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2. Piscataway, NJ, United States: IEEE. 1995. p. 1017-1019
Niimi, Michiharu ; Kamata, Seiichiro ; Kawaguchi, Eiji. / Interactive analysis of large scale multi-spectral images using a Hilbert curve. International Geoscience and Remote Sensing Symposium (IGARSS). editor / Anon. Vol. 2 Piscataway, NJ, United States : IEEE, 1995. pp. 1017-1019
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