InSAR Image Regularization and DEM Error Correction With Fractal Surface Scattering Model

Danudirdjo D.; Hirose A.

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InSAR Image Regularization and DEM Error Correction With Fractal Surface Scattering Model

机译：分形表面散射模型的InSAR图像正则化和DEM误差校正

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This paper presents a method for removing spikes in digital elevation models (DEMs) caused by residues in interferometric synthetic aperture radar (InSAR) phase image. We consider that the scattering mechanism is properly modeled by the small perturbation method for fractal surfaces and present a model that relates the phase and magnitude in InSAR image. This data model provides the regularization term of the method, without directly enforcing smooth phase or magnitude. Noise models are given by additive Gaussian for the phase and multiplicative non-unit-mean gamma for the magnitude. Experiments with simulated and real L-band data show that the proposed method considerably improves DEM accuracy and simultaneously suppresses speckle and phase noise.

机译：本文提出了一种消除数字高程模型（DEM）中由干涉合成孔径雷达（InSAR）相位图像中的残留物引起的尖峰的方法。我们认为通过小扰动方法对分形表面进行了适当的建模，并提出了一个与InSAR图像中的相位和大小相关的模型。该数据模型提供了该方法的正则项，而无需直接执行平滑相位或幅度。噪声模型由相加的高斯给出，相位由相乘的非单位均值伽马给出。模拟和真实L波段数据的实验表明，该方法大大提高了DEM精度，同时抑制了斑点和相位噪声。

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《Geoscience and Remote Sensing, IEEE Transactions on》 |2015年第3期|1427-1439|共13页
作者
Danudirdjo D.; Hirose A.;
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正文语种 eng
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关键词
Data models; Fractals; Noise; Scattering; Surface topography; Surface treatment; Synthetic aperture radar; Digital elevation model (DEM); fractals; image denoising; speckle; synthetic aperture radar (SAR);

机译：数据模型;分形;噪声;散射;表面形貌;表面处理;合成孔径雷达;数字高程模型（DEM）;分形图像去噪斑点;合成孔径雷达（SAR）;

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5. Fractal surfaces and the Kirchhoff approximation for modeling quasi-specular surface scattering: Theory and applications. [D] . Sultan Salem, Ahmed Kamal. 2007

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机译：基于非二次正则化的联合SAR成像和模型误差校正技术

InSAR Image Regularization and DEM Error Correction With Fractal Surface Scattering Model

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