本文選題：遙感圖像 + 非共線　； 參考：《電子與信息學(xué)報》2017年10期

【摘要】：針對非共線多CCD遙感圖像匹配點的分布特點,該文提出一種基于聚類的誤匹配點去除方法。首先,根據(jù)匹配點的沿軌方向偏移量曲線,獲取匹配點的多維特征向量。然后,對匹配點集進(jìn)行聚類處理,將所有點聚為一個類簇,最后根據(jù)簇半徑序列曲線的變化趨勢區(qū)分正確點和誤匹配點。通過天繪1號02星全色遙感圖像的實驗和處理,結(jié)果表明在誤匹配點去除和正確匹配點保留方面所提算法與其它方法相比具有更好性能。
[Abstract]:According to the distribution of matching points in non-collinear multi-CCD remote sensing images, this paper proposes a method for removing mismatched points based on clustering. Firstly, the multi-dimensional eigenvector of the matching point is obtained according to the offset curve of the matching point along the orbit direction. Then, the matching point set is clustered and all the points are clustered into one cluster. Finally, the correct points and the mismatched points are distinguished according to the changing trend of the cluster radius sequence curve. Through the experiment and processing of the panchromatic remote sensing image of Tianyi 1 02 star, the results show that the proposed algorithm has better performance than other methods in the aspects of mismatch point removal and correct matching point retention.
【作者單位】： 中國科學(xué)院空間信息處理與應(yīng)用系統(tǒng)技術(shù)重點實驗室;中國科學(xué)院電子學(xué)研究所;中國科學(xué)院大學(xué);
【基金】：國家自然科學(xué)基金(41001214)~~
【分類號】：TP751
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本文編號：2109171