Texture Measurement Through Local Pattern Quantization for SAR Image Classification

被引:0
作者
Debasish Chakraborty
Dibyendu Dutta
Jaswant Raj Sharma
机构
[1] RRSC-East (NRSC,
[2] ISRO),undefined
[3] Regional Centres (NRSC,undefined
[4] ISRO),undefined
来源
Journal of the Indian Society of Remote Sensing | 2016年 / 44卷
关键词
Image; Texture; Pattern; SAR; Classification; RISAT-1; RISAT-2; Local pattern quantization;
D O I
暂无
中图分类号
学科分类号
摘要
A novel local pattern based classification algorithm for SAR image is proposed in this paper. The proposed method initially quantizes homogeneous and non-homogeneous patterns within the moving window. An operator is constructed to quantize local patterns. Quantized patterns are then used for measuring texture around the central pixel within the moving window. The ISODATA algorithm is used to classify texture transformed image. The proposed classification method is robust to speckle noise, computationally simple and does not need to set any predefined parameter for classification. The validation of the method is done on RISAT-1 and RISAT-2 data.
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页码:471 / 477
页数:6
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