本文選題：SIFT算子 + 稀疏匹配�。� 參考：《測繪通報》2017年05期

【摘要】：無人機影像轉化為水平核線影像后,能夠有效地減少同名點的搜索空間。在此基礎上,本文使用SIFT算子進行了稀疏匹配,并用BP算法進行了稠密匹配。結果表明:(1)SIFT算子獲取的同名點比較少,但是計算方法簡單,同名點空間坐標精確,適用于大范圍獲取簡要的空間三維信息;(2)BP算法計算復雜度高,可以獲取地物大量的同名點,適用于小范圍的地物三維重建。總體而言,兩者各有優(yōu)缺點,在實際的應用中可互補。
[Abstract]:After the UAV image is converted to the horizontal nuclear line image, it can effectively reduce the search space of the same name points. On this basis, this paper uses the SIFT operator to carry out a sparse match, and uses the BP algorithm to carry out a dense matching. The results show that: (1) the SIFT operator obtains less homonymous points, but the calculation method is simple, the space coordinates of the same name point are accurate and suitable. It is used to obtain a wide range of spatial information in a wide range; (2) the BP algorithm has high computational complexity and can obtain a large number of homonyms of ground objects. It is suitable for a small area of three-dimensional reconstruction of ground objects. In general, both have advantages and disadvantages, and can complement each other in practical applications.

【作者單位】： 北京信息職業(yè)技術學院;長江水利委員會長江科學院;中國地質大學(北京);
【基金】：國家自然科學基金(41601298)
【分類號】：P237;TP391.41
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本文編號：1888539