本文選題：監(jiān)測(cè)效能分析 + 地基干涉雷達(dá)��； 參考：《大地測(cè)量與地球動(dòng)力學(xué)》2017年08期

【摘要】：針對(duì)地基干涉雷達(dá)露天礦礦區(qū)邊坡地面災(zāi)害監(jiān)測(cè)中影響因素眾多且關(guān)系復(fù)雜的特點(diǎn),將GA-BP算法應(yīng)用于GB-SAR形變監(jiān)測(cè)效能分析中。將GB-SAR掃描坡度、掃描坡向以及雷達(dá)回波強(qiáng)度3個(gè)因子作為神經(jīng)網(wǎng)絡(luò)的輸入,邊坡監(jiān)測(cè)區(qū)域?qū)崪y(cè)獲取的單位面積上具有形變信息的點(diǎn)個(gè)數(shù)作為輸出,并利用皮爾遜相關(guān)系數(shù)法分析各影響因素同監(jiān)測(cè)效能的相關(guān)性質(zhì)和相關(guān)程度。結(jié)果表明,該算法適用于地基干涉雷達(dá)的監(jiān)測(cè)效能分析,且具有一定的有效性和優(yōu)越性。
[Abstract]:In view of the many influencing factors and complicated relations in the monitoring of ground disasters of slope in ground interference radar opencast mine, the GA-BP algorithm is applied to the analysis of the effectiveness of GB-SAR deformation monitoring. The GB-SAR scan slope, scanning slope direction and radar echo intensity are taken as the input of the neural network, and the number of points with deformation information in the unit area measured in the slope monitoring area is taken as the output. Pearson correlation coefficient method is used to analyze the correlation property and degree between the influencing factors and the monitoring effectiveness. The results show that the algorithm is applicable to the monitoring effectiveness analysis of ground-based interferometric radar and has certain effectiveness and superiority.
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本文編號(hào)：1958406