| 摘要 |
<p>Described herein is a process for objectively and automatically determining spectral endmembers (S580) 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 (S140) 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 statiscally-based test. The test combine spectral and spatial criteria and decision trees to ensure that the resulting endmembers are physically representative of the scene.</p> |
