Remote-sensing image one-class classification method based on one-class normalization

The invention provides a remote-sensing image one-class classification method based on one-class normalization. One-class samples are selected from a remote-sensing image, one-class normalization transformation is carried out, a suprasphere is determined with an original point as a center for one-cl...

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Bibliographische Detailangaben
Hauptverfasser: JING YONGJU, ZHENG XIAODONG, CHENG QIUYUN, DONG ZANQIANG, BO SHUKUI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a remote-sensing image one-class classification method based on one-class normalization. One-class samples are selected from a remote-sensing image, one-class normalization transformation is carried out, a suprasphere is determined with an original point as a center for one-class classification after normalization transformation is finished, and the sample away from the original point by the distance smaller than the radius of the suprasphere is the positive class. Compared with other one-class classification technologies, the remote-sensing image one-class classification method based on one-class normalization has the advantages that no parameter is needed, namely one-class classification is carried out directly without setting any parameters, the effect is good, and performance is stable.