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METHOD AND DEVICE FOR HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION

机译:高光谱遥感图像分类的方法和装置

摘要

A method and device for hyperspectral remote sensing image classification. The method comprises: acquiring N preset Gabor filters (S101); acquiring N three-dimensional Gabor amplitude features and N three-dimensional Gabor phase features of a hyperspectral remote sensing image on the basis of the N preset Gabor filters (S102); and utilizing a feature fusion algorithm to perform feature fusion with respect to the N three-dimensional Gabor amplitude features and the N three-dimensional Gabor phase features so as to determine the type of terrain in the hyperspectral remote sensing image (S103). The method, by fusing the three-dimensional Gabor amplitude features and the three-dimensional Gabor phase features of the hyperspectral remote sensing image for determining the type of terrain in the hyperspectral remote sensing image, increases the accuracy of terrain classification with respect to the hyperspectral remote sensing image.
机译:一种高光谱遥感图像分类的方法和装置。该方法包括:获取N个预设Gabor滤波器(S101);基于所述N个预设Gabor滤波器,获取高光谱遥感图像的N个三维Gabor幅度特征和N个三维Gabor相位特征(S102);利用特征融合算法对N个三维Gabor幅度特征和N个三维Gabor相位特征进行特征融合,以确定高光谱遥感图像中的地形类型(S103)。该方法通过融合高光谱遥感图像的三维Gabor幅度特征和三维Gabor相位特征来确定高光谱遥感图像中地形的类型,提高了高光谱地形分类的准确性。遥感图像。

著录项

  • 公开/公告号WO2018192023A1

    专利类型

  • 公开/公告日2018-10-25

    原文格式PDF

  • 申请/专利权人 SHENZHEN UNIVERSITY;

    申请/专利号WO2017CN83766

  • 发明设计人 JIA SEN;DENG LIN;SHEN LINLIN;

    申请日2017-05-10

  • 分类号G06K9/62;

  • 国家 WO

  • 入库时间 2022-08-21 12:42:15

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