Show simple item record

dc.contributor.authorChen, Qiangzh_CN
dc.contributor.authorKuang, Gangyaozh_CN
dc.contributor.authorLi, Jonathanzh_CN
dc.contributor.authorSui, Lichunzh_CN
dc.contributor.authorLi, Diangangzh_CN
dc.contributor.author陈强zh_CN
dc.contributor.author李军zh_CN
dc.date.accessioned2015-07-22T07:02:08Z
dc.date.available2015-07-22T07:02:08Z
dc.date.issued2013zh_CN
dc.identifier.citationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013,51(3):1817-1825zh_CN
dc.identifier.otherWOS:000315726100023zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/90060
dc.description.abstractThis paper presents a new unsupervised land cover/land use classification scheme using polarimetric synthetic aperture radar (PolSAR) imagery based on polarimetric scattering similarity. Compared with the H/alpha classification scheme based on a dominant "average" scattering mechanism, the proposed scheme has such advantages as the following: 1) The major scattering mechanism represents a target scattering in the low-entropy case; 2) it also represents both the major and minor scattering mechanisms in the medium-entropy case; and 3) all the scattering mechanisms in the high-entropy case can be represented. The major and minor scattering mechanisms have been identified automatically based on the relative magnitude of multiple-scattering similarities. The canonical scattering corresponding to maximum scattering similarity is regarded as the major scattering mechanism. The result obtained using the National Aeronautics and Space Administration/Jet Propulsion Laboratory's AIRSAR L-band PolSAR imagery reveals that the proposed scheme is more effective as compared to the existing models and promises to increase the accuracy of the classification and interpretation.zh_CN
dc.language.isoen_USzh_CN
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCzh_CN
dc.source.urihttp://dx.doi.org/10.1109/TGRS.2012.2205389zh_CN
dc.subjectPOLARIMETRIC SARzh_CN
dc.subjectRADAR POLARIMETRYzh_CN
dc.subjectDECOMPOSITIONzh_CN
dc.subjectMODELzh_CN
dc.titleUnsupervised Land Cover/Land Use Classification Using PolSAR Imagery Based on Scattering Similarityzh_CN
dc.typeArticlezh_CN


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record