本文選題：極化合成孔徑雷達 + 建筑區(qū)提取�。� 參考：《航天返回與遙感》2017年02期

【摘要】：建筑區(qū)提取對于城市規(guī)劃和災害評估具有重要的作用。文章提出融合極化方位角補償?shù)纳⑸淠Ｐ吞崛〗ㄖ䥇^(qū)。首先對極化SAR圖像進行極化補償處理,使得建筑物的散射成分增強,然后融合極化分解得到的散射分量和紋理特征參數(shù)作為建筑區(qū)提取依據(jù),最后使用面向對象的提取方法進行建筑區(qū)提取。采用美國San Francisco地區(qū)L波段星載AIRSAR數(shù)據(jù)和德國Oberpfaffenhofen地區(qū)L波段機載ESAR數(shù)據(jù)分別進行實驗驗證。結果表明,文中方法較好地識別并提取了建筑區(qū),提高了建筑區(qū)的提取精度,可用于受災建筑區(qū)提取以及城市建筑區(qū)信息獲取。
[Abstract]:Building area extraction plays an important role in urban planning and disaster assessment. In this paper, the scattering model of fusion polarization azimuth compensation is proposed to extract the building area. Firstly, polarization compensation is applied to the polarimetric SAR image to enhance the scattering component of the building, and then the scattering component and the texture characteristic parameters obtained from the polarization decomposition are fused as the basis for the extraction of the building area. Finally, the object-oriented extraction method is used to extract the building area. The L band spaceborne AIRSAR data in San Francisco region of the United States and the L band airborne ESAR data in Oberpfaffenhofen region of Germany are used for experimental verification. The results show that the method can be used to identify and extract the building area, improve the precision of the building area extraction, and can be used to extract the disaster building area and the information of the urban building area.
【作者單位】： 南京郵電大學地理與生物信息學院;河海大學地球科學與工程學院;南京烽火軟件科技有限公司;
【基金】：南京郵電大學校級科研基金(NY215181);南京郵電大學大學生創(chuàng)新創(chuàng)業(yè)訓練計劃STITP項目(XYB2016273)
【分類號】：TN957.52

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