ROUGH WAVELET GRANULAR SPACE AND CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE
摘要
<p>Shift-invariant wavelet transform with properly selected wavelet base and decomposition level(s), is used to characterize rough-wavelet granules producing wavelet granulation of a feature space for a multispectral image such as a remote sensing image. Through the use of the granulated feature space contextual information in time and/or frequency domains are analyzed individually or in combination. Neighborhood rough sets (NRS) are employed in the selection of a subset of granulated features that further explore the local and/or contextual information from neighbor granules.</p>
申请公布号
WO2012069891(A1)
申请公布日期
2012.05.31
申请号
WO2011IB00045
申请日期
2011.01.13
申请人
INDIAN STATISTICAL INSTITUTE;PAL, SANKAR KUMAR;MEHER, SAROJ KUMAR