利用差值法与InSAR相干系数检测城市变化信息

发布时间：2019-06-02 22:14

【摘要】：由于当前经常出现雾霾等极端气候,光学遥感不能提供稳定数据源,而合成孔径雷达所具有的全天时、全气候的特点可以获取稳定的数据源,因此利用SAR影像进行城市变化检测有着非常广阔的前景。该文提出一种利用差值法与InSAR相干系数相结合,通过二者的优势与特点进行城市变化检测的方法。实验经过数据的预处理、影像纠正、实验区裁剪、差值处理、相干系数图阈值处理、差值结果图与相干系数图阈值处理结果图叠加、边界处理等一系列的影像处理。实验结果表明,该方法可以成功地提取出实验区域的变化信息,所提取变化信息具有较高的准确性。
[Abstract]:Because of the frequent extreme climate such as haze, optical remote sensing can not provide stable data sources, and the all-weather characteristics of synthetic aperture radar (SAR) can obtain stable data sources. Therefore, the use of SAR images for urban change detection has a very broad prospect. In this paper, a method of urban change detection based on the advantages and characteristics of difference method and InSAR coherence coefficient is proposed. After a series of image processing, such as data preprocessing, image correction, experimental area cutting, difference processing, coherence coefficient graph threshold processing, difference result diagram and coherence coefficient graph threshold processing result diagram superposition, boundary processing and so on, a series of image processing have been carried out in the experiment, such as data preprocessing, image correction, experimental area cutting, difference processing, coherence coefficient graph threshold processing. The experimental results show that the method can successfully extract the change information of the experimental area, and the extracted change information has high accuracy.
【作者单位】：北京建筑大学测绘与城市空间信息学院;北京建筑大学电气与信息工程学院;
【基金】：国家自然科学基金(61501019) 北京市教育委员会科技计划一般项目(SQKM201610016008)
【分类号】：TN957.52

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