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作 者:卜丽静[1] 郑新杰 张正鹏[1] BU Lijing;ZHENG Xinjie;ZHANG Zhengpeng(School of Geomatics, Liaoning Technical University, Fuxin 123000,China;Heilongjiang Geographic Information Engineering Institute, Harbin 150081, China)
机构地区:[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000 [2]黑龙江地理信息工程院,黑龙江哈尔滨150081
出 处:《测绘学报》2020年第2期214-224,共11页Acta Geodaetica et Cartographica Sinica
基 金:国家自然科学基金青年科学基金项目(41801294);武汉大学测绘遥感信息工程国家重点实验室特别开放基金资助(18T07);辽宁省自然科学基金项目(20180551209)~~
摘 要:在含有运动地物的“凝视”卫星视频影像超分辨率重建问题中,针对由于运动估计不准确导致的重建后运动物体存在“格网”和“拖尾”等问题,提出了顾及运动估计误差的运动场景超分辨率重建方法。首先,在MAP模型框架下分析了基于L1范数和L2范数的保真项对于运动估计误差的稳健性,引入稳健的M-估计作为保真项,自适应的减少运动估计误差对重建结果的影响;然后,分析了稳健估计条件下Tikhonov、TV、BTV正则项的重建效果;最后,提出了基于稳健估计的双边滤波超分辨率重建方法,用SkyBox和吉林一号的卫星视频数据验证本文方法。试验证明,本文方法对含有运动目标的卫星视频影像具有较好的重建效果,重建后动态和静态地物细节都得到提升,归一化方差和梯度能量指标都优于其他方法。试验表明了本文方法的可行性。In the application of super-resolution reconstruction of staring satellite video image,due to inaccurate motion estimation,the reconstructed moving objects will appear“Grid”And“Tailing”.in this paper,a motion scene super-resolution reconstruction method considering motion estimation error is proposed.The sensitivity of the regularized model expressed by L1 and L 2 norms to noise is analyzed under the condition of motion estimation error.In this paper,robust estimation method is introduced to express the fidelity term of regularized model,so as to reduce the influence of motion estimation errors on the reconstructed results.On the basis of robust estimation model,tikhonov,TV and BTV regular terms are added respectively,and the super-resolution reconstruction effect of each model is analyzed.A bilateral filtering super-resolution reconstruction method based on robust estimation is proposed.The experiment chooses skybox and jilin-1 satellite video data.The results show that the method proposed in this paper is effective in reconstructing moving objects,and the details of the ground objects are clearer.In terms of normalized difference and gradient energy evaluation index,this method is superior to the classical method.
分 类 号:P237[天文地球—摄影测量与遥感]
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