Title :
Robust pixel unmixing
Author_Institution :
Dept. of Comput. Sci., Cardiff Univ., UK
fDate :
9/1/2001 12:00:00 AM
Abstract :
Pixel unmixing is commonly performed by employing a least squared (LS) error criterion, making it sensitive to outliers. As an alternative, the least median of squares (LMedS) method is proposed. Not only is it extremely robust, but it is efficient and straightforward both to implement and use
Keywords :
geography; geophysical signal processing; image classification; least mean squares methods; remote sensing; LMedS method; image classification; least median of squares; remote sensing; robust pixel unmixing; Computer science; Electric breakdown; Least mean squares methods; Least squares methods; Pollution measurement; Reflectivity; Remote sensing; Robustness; Spatial resolution; Statistics;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
