机译:基于添加 - 乘法散斑模型的Boteletric SAR图像检测
Natl Inst Technol Calicut Kerala India;
Vikram Sarabhai Space Ctr Trivandrum Kerala India;
Natl Inst Technol Calicut Kerala India;
remote sensing by radar; radar polarimetry; image denoising; synthetic aperture radar; radar imaging; filtering theory; speckle; polarimetric SAR image despeckling; additive-multiplicative speckle model; efficient speckle; polarimetric synthetic aperture radar technology; remote sensing; surveillance applications; polarimetric SAR images; multiplicative speckle noise model; additive-multiplicative noise model; bandelet based Bayesian thresholding; transform domain filtering; off-diagonal elements; filtering scheme; airborne images; spaceborne polarimetric images; speckle content;
机译:使用优化的Bandelet变换和GCV阈值平衡的Polarimetric SAR图像取消
机译:使用Bandelet变换的空间自适应偏振图像检测
机译:基于去斑点评估指标的自适应阈值去除重叠变换域SAR图像中的斑点
机译:使用自适应Bandelet变换和贝叶斯最大值后验估计对SAR图像进行去斑
机译:基于通用模型的极化SAR图像分解框架
机译:基于图像补丁散射协方差矩阵的多时相SAR图像去斑
机译:基于去斑点评估指标的自适应阈值去除重叠变换域SAR图像中的斑点