利用差值法與InSAR相干系數(shù)檢測(cè)城市變化信息
[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.
【作者單位】: 北京建筑大學(xué)測(cè)繪與城市空間信息學(xué)院;北京建筑大學(xué)電氣與信息工程學(xué)院;
【基金】:國家自然科學(xué)基金(61501019) 北京市教育委員會(huì)科技計(jì)劃一般項(xiàng)目(SQKM201610016008)
【分類號(hào)】:TN957.52
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