대한원격탐사학회:학술대회논문집 (Proceedings of the KSRS Conference)
- 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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- Pages.111-114
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- 2008
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- 1226-9743(pISSN)
STATISTICAL NOISE BAND REMOVAL FOR SURFACE CLUSTERING OF HYPERSPECTRAL DATA
- Huan, Nguyen Van (Image Information Research Center School of Information and Communication Engineering, INHA University) ;
- Kim, Hak-Il (Image Information Research Center School of Information and Communication Engineering, INHA University)
- 발행 : 2008.10.29
초록
The existence of noise bands may deform the typical shape of the spectrum, making the accuracy of clustering degraded. This paper proposes a statistical approach to remove noise bands in hyperspectral data using the correlation coefficient of bands as an indicator. Considering each band as a random variable, two adjacent signal bands in hyperspectral data are highly correlative. On the contrary, existence of a noise band will produce a low correlation. For clustering, the unsupervised