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基于高精度低空攝影測量的滑坡災害監測與預報關(guān)鍵技術(shù)研究
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江西省教育廳科研項目(GJJ161088)


Research on Key Technologies of Landslide Disaster Monitoring and Prediction Based on High Precision Low Altitude Photogrammetry
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    摘要:

    采用傳統監測與預報技術(shù),受到滑坡區域擴大影響,導致預測精準度較低,針對該問(wèn)題,提出了基于高精度低空攝影測量的滑坡災害監測與預報關(guān)鍵技術(shù)研究。依據滑坡地質(zhì)體環(huán)境因素,建立滑坡災害監測與監測與預報指標,根據該指標,計算地層壓力變量相關(guān)參數。以高分辨率數字遙感設備為傳感器,采用高精度低空攝影測量技術(shù)來(lái)提取數據,以此分析滑坡堆積特征和密實(shí)程度。通過(guò)上述特性,建立關(guān)聯(lián)函數,確定監測與預報對象以及監測與預報等級,由此完成滑坡災害監測與預報。由實(shí)驗結果可知,該技術(shù)預測精準度較高,最高可達到98.8%,為保障人們生命安全提供必要技術(shù)支持。

    Abstract:

    Traditional monitoring and forecasting technology is affected by the enlargement of landslide area, which leads to low accuracy of prediction. To solve this problem, the key technology of landslide disaster monitoring and forecasting based on high-precision low-altitude photogrammetry is proposed. According to the environmental factors of landslide geological body, the monitoring and forecasting indexes of landslide hazards are established, and the related parameters of formation pressure variables are calculated according to the indexes. Using high resolution digital remote sensing equipment as sensor, high precision low-altitude photogrammetry technology is used to extract data, in order to analyze landslide accumulation characteristics and compactness. Based on the above characteristics, the correlation function is established to determine the object of monitoring and prediction and the level of monitoring and prediction, so as to complete the monitoring and prediction of landslide disasters. The experimental results show that the prediction accuracy of this technology is high, up to 98.8%. It provides necessary technical support for ensuring people's life safety.

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李瀟,閔潔.基于高精度低空攝影測量的滑坡災害監測與預報關(guān)鍵技術(shù)研究計算機測量與控制[J].,2019,27(10):69-73.

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  • 收稿日期:2019-06-05
  • 最后修改日期:2019-06-05
  • 錄用日期:2019-06-24
  • 在線(xiàn)發(fā)布日期: 2019-10-16
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