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SAR Image Classification Based on Its Texture Features

SAR Image Classification Based on Its Texture Features
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摘要 SAR images not only have the characteristics of all-ay, all-eather, but also provide object information which is different from visible and infrared sensors. However, SAR images have some faults, such as more speckles and fewer bands. The authors conducted the experiments of texture statistics analysis on SAR image features in order to improve the accuracy of SAR image interpretation. It is found that the texture analysis is an effective method for improving the accuracy of the SAR image interpretation. SAR images not only have the characteristics of all-ay, all-eather, but also provide object information which is different from visible and infrared sensors. However, SAR images have some faults, such as more speckles and fewer bands. The authors conducted the experiments of texture statistics analysis on SAR image features in order to improve the accuracy of SAR image interpretation. It is found that the texture analysis is an effective method for improving the accuracy of the SAR image interpretation.
出处 《Geo-Spatial Information Science》 2003年第3期16-19,55,共5页 地球空间信息科学学报(英文)
基金 theNationalNaturalScienceFoundationofChina (No .40 0 2 30 0 4 )
关键词 texture analysis CLASSIFICATION gray co-occurrence SAR 图像处理 图像分类 图像特征 纹理分析 合成孔径雷达
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参考文献7

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