发明名称 |
Method for selecting representative endmember components from spectral data |
摘要 |
Described herein is a process for objectively and automatically determining spectral endmembers and transforming Spectral Mixture Analysis (SMA) from a widely used research technique into a user-friendly tool that can support the needs of all types of remote sensing. The process extracts endmembers from a spectral dataset using a knowledge-based approach. The process identifies a series of starting spectra that are consistent with a scene and its environment. The process then finds endmembers iteratively, selecting each new endmember based on a combination of physically and statistically-based tests. The tests combine spectral and spatial criteria and decision trees to ensure that the resulting endmembers are physically representative of the scene.
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申请公布号 |
US7221798(B2) |
申请公布日期 |
2007.05.22 |
申请号 |
US20060333360 |
申请日期 |
2006.01.18 |
申请人 |
SCIENCE APPLICATIONS INTERNATIONAL CORPORATION |
发明人 |
SUNSHINE JESSICA MIRIAM;TOMPKINS STEFANIE;MCNARON-BROWN KELLIE SUE |
分类号 |
G06K9/46;G01N21/31;G06K9/00;G06K9/40;G06K9/62;G06T5/00;G06T5/50 |
主分类号 |
G06K9/46 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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