Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2003.11a
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- Pages.732-734
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- 2003
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- 1226-9743(pISSN)
The Endmember Analysis for Sub-Pixel Detection Using the Hyperspectral Image
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Kim, Dae-Sung
(School of Civil, Urban and Geosystem Engineering, Seoul National University)
;
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Cho, Young-Wook
(School of Civil, Urban and Geosystem Engineering, Seoul National University)
;
- Han, Dong-Yeob (School of Civil, Urban and Geosystem Engineering, Seoul National University) ;
- Kim, Young-Il (School of Civil, Urban and Geosystem Engineering, Seoul National University)
- Published : 2003.11.03
Abstract
In the middle -resolution remote sensing, the Ground Sampled Distance(GSD) sensed and sampled by the detector is generally larger than the size of objects(or materials) of interest, in which case several objects are embedded in a single pixel and cannot be detected spatially. This study is intended to solve this problem of a hyperspectral data with high spectral resolution. We examined the detection algorithm, Linear Spectral Mixing Model, and also made a test on the Hyperion data. To find class Endmembers, we applied two methods, Spectral Library and Geometric Model, and compared them with each other.