Abstract
There are several techniques for analyzing multispectral images. In general, those are performed by linear transformation methods. In this paper, we present a new interactive method for classifying multispectral images using a Hilbert curve which is a one-to-one mapping from N- dimensional space to one dimensional space and preserves the neighborhood as much as possible. The merit of our system is that the user can extract clusters without computing any distance in N- dimensional space, and analyze multidimensional data from gross data distribution to fine data distribution hierarchically. In the experiments using LANDSAT TM data, it is confirmed that the user can get the real time response from the system after once making the data tables, and understand distribution of data that correspond to categories in feature space.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Place of Publication | Bellingham, WA, United States |
| Publisher | Society of Photo-Optical Instrumentation Engineers |
| Pages | 1647-1655 |
| Number of pages | 9 |
| Volume | 2501 |
| Edition | 3/- |
| ISBN (Print) | 0819418587 |
| Publication status | Published - 1995 |
| Externally published | Yes |
| Event | Visual Communications and Image Processing '95 - Taipei, Taiwan Duration: 1995 May 24 → 1995 May 26 |
Other
| Other | Visual Communications and Image Processing '95 |
|---|---|
| City | Taipei, Taiwan |
| Period | 95/5/24 → 95/5/26 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
Cite this
Interactive system for classifying multispectral images using a Hilbert curve. / Niimi, Michiharu; Kamata, Seiichiro; Kawaguchi, Eiji.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 2501 3/-. ed. Bellingham, WA, United States : Society of Photo-Optical Instrumentation Engineers, 1995. p. 1647-1655.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Interactive system for classifying multispectral images using a Hilbert curve
AU - Niimi, Michiharu
AU - Kamata, Seiichiro
AU - Kawaguchi, Eiji
PY - 1995
Y1 - 1995
N2 - There are several techniques for analyzing multispectral images. In general, those are performed by linear transformation methods. In this paper, we present a new interactive method for classifying multispectral images using a Hilbert curve which is a one-to-one mapping from N- dimensional space to one dimensional space and preserves the neighborhood as much as possible. The merit of our system is that the user can extract clusters without computing any distance in N- dimensional space, and analyze multidimensional data from gross data distribution to fine data distribution hierarchically. In the experiments using LANDSAT TM data, it is confirmed that the user can get the real time response from the system after once making the data tables, and understand distribution of data that correspond to categories in feature space.
AB - There are several techniques for analyzing multispectral images. In general, those are performed by linear transformation methods. In this paper, we present a new interactive method for classifying multispectral images using a Hilbert curve which is a one-to-one mapping from N- dimensional space to one dimensional space and preserves the neighborhood as much as possible. The merit of our system is that the user can extract clusters without computing any distance in N- dimensional space, and analyze multidimensional data from gross data distribution to fine data distribution hierarchically. In the experiments using LANDSAT TM data, it is confirmed that the user can get the real time response from the system after once making the data tables, and understand distribution of data that correspond to categories in feature space.
UR - http://www.scopus.com/inward/record.url?scp=0029238188&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029238188&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0029238188
SN - 0819418587
VL - 2501
SP - 1647
EP - 1655
BT - Proceedings of SPIE - The International Society for Optical Engineering
PB - Society of Photo-Optical Instrumentation Engineers
CY - Bellingham, WA, United States
ER -