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A PROPOSED FRAMEWORK TO UNMIX SCATTERING MECHANISMS OF POLARIMETRIC RADAR IMAGES USING VERY HIGH RESOLUTION OPTICAL IMAGES

机译:使用非常高分辨率光学图像的Polariemetric雷达图像的Unbix散射机制的提出框架

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A new approach has been proposed for radar and optical image fusion. Candidate images for fusion are polarimetric radar images and very high resolution stereoscopic optical images. The fused product is expected to produce more reliable large scale land cover classifications. In the first part of this paper, observation-based state-of-the-art methods for optical and radar image fusion are discussed. The idea of unmixing physical radar scattering mechanisms with the optical images has been proposed as a suitable means to improve the resolution of the polarimetric radar images. The second part focuses on a general description of the target algorithm. The suggested physical approach simulating synthetic scattering matrices with stereoscopic optical images is developed. Finally, future work to develop this unmixing algorithm is discussed.
机译:已经提出了一种用于雷达和光学图像融合的新方法。用于融合的候选图像是偏振雷达图像和非常高分辨率立体光学图像。融合产品有望产生更可靠的大型土地覆盖分类。在本文的第一部分中,讨论了用于光学和雷达图像融合的基于观测的最新方法。已经提出了用光学图像解混的物理雷达散射机制的思想作为改善偏振雷达图像的分辨率的合适装置。第二部分侧重于目标算法的一般描述。开发了模拟具有立体光学图像的合成散射矩阵的建议的物理方法。最后,讨论了未来的开发这种解密算法的工作。

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