利用差值法與InSAR相干系數(shù)檢測城市變化信息
發(fā)布時間：2019-06-02 22:14
【摘要】：由于當前經(jīng)常出現(xiàn)霧霾等極端氣候,光學遙感不能提供穩(wěn)定數(shù)據(jù)源,而合成孔徑雷達所具有的全天時、全氣候的特點可以獲取穩(wěn)定的數(shù)據(jù)源,因此利用SAR影像進行城市變化檢測有著非常廣闊的前景。該文提出一種利用差值法與InSAR相干系數(shù)相結(jié)合,通過二者的優(yōu)勢與特點進行城市變化檢測的方法。實驗經(jīng)過數(shù)據(jù)的預處理、影像糾正、實驗區(qū)裁剪、差值處理、相干系數(shù)圖閾值處理、差值結(jié)果圖與相干系數(shù)圖閾值處理結(jié)果圖疊加、邊界處理等一系列的影像處理。實驗結(jié)果表明,該方法可以成功地提取出實驗區(qū)域的變化信息,所提取變化信息具有較高的準確性。
[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.
【作者單位】： 北京建筑大學測繪與城市空間信息學院;北京建筑大學電氣與信息工程學院;
【基金】：國家自然科學基金(61501019) 北京市教育委員會科技計劃一般項目(SQKM201610016008)
【分類號】：TN957.52
[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】： 北京建筑大學測繪與城市空間信息學院;北京建筑大學電氣與信息工程學院;
【基金】：國家自然科學基金(61501019) 北京市教育委員會科技計劃一般項目(SQKM201610016008)
【分類號】：TN957.52
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5 徐榔，
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