發(fā)布時間：2018-07-20 10:44

【摘要】：目的無人機攝像資料的分辨率直接影響目標(biāo)識別與信息獲取,所以攝像分辨率的提高具有重大意義。為了改善無人機偵察視頻質(zhì)量,針對目前無人機攝像、照相數(shù)據(jù)的特點,提出一種無人機偵察視頻超分辨率重建方法。方法首先提出基于AGAST-Difference與Fast Retina Keypoint(FREAK)的特征匹配算法對視頻目標(biāo)幀與相鄰幀之間配準(zhǔn),然后提出匹配區(qū)域搜索方法找到目標(biāo)幀與航片的對應(yīng)關(guān)系,利用航片對視頻幀進(jìn)行高頻補償,最后采用凸集投影方法對補償后視頻幀進(jìn)行迭代優(yōu)化。結(jié)果基于AGAST-Difference與FREAK的特征匹配算法在尺度、旋轉(zhuǎn)、視點等變化及運行速度上存在很大優(yōu)勢,匹配區(qū)域搜索方法使無人機視頻的高頻補償連續(xù)性更好,凸集投影迭代優(yōu)化提高了重建的邊緣保持能力,與一種簡單有效的視頻序列超分辨率復(fù)原算法相比,本文算法重建質(zhì)量提高約4 d B,運行速度提高約5倍。結(jié)論提出了一種針對無人機的視頻超分辨率重建方法,分析了無人機視頻超分辨率問題的核心所在,并且提出基于AGAST-Difference與FREAK的特征匹配算法與匹配區(qū)域搜索方法來解決圖像配準(zhǔn)與高頻補償問題。實驗結(jié)果表明,本文算法強化了重建圖像的一致性與保真度,特別是對圖像邊緣細(xì)節(jié)部分等效果極為明顯,且處理速度更快。
[Abstract]:Aim the resolution of UAV camera data directly affects target recognition and information acquisition, so the improvement of camera resolution is of great significance. In order to improve the video quality of UAV reconnaissance, a super-resolution reconstruction method for UAV reconnaissance video is proposed according to the characteristics of UAV camera and photographic data. Methods first, a feature matching algorithm based on AGAST-Difference and Fast Retina Keypoint (FREAK) is proposed, and then the matching region search method is proposed to find the corresponding relationship between the target frame and the aerial picture. Finally, the convex set projection method is used to optimize the compensated video frame iteratively. Results the feature matching algorithm based on AGAST-Difference and FREAK has great advantages in the changes of scale, rotation, viewpoint and running speed. The matching region search method makes the UAV video frequency compensation continuity better. Compared with a simple and effective super-resolution video sequence restoration algorithm, the reconstruction quality of this algorithm is improved by about 4 dB, and the running speed is about 5 times higher than that of a simple super-resolution video sequence restoration algorithm. Conclusion A video super-resolution reconstruction method for UAV is proposed, and the core of the video super-resolution problem of UAV is analyzed. A feature matching algorithm and a matching region search method based on AGAST-Difference and FREAK are proposed to solve the problem of image registration and high-frequency compensation. The experimental results show that the proposed algorithm enhances the consistency and fidelity of the reconstructed image, especially for the details of the image edge, and the processing speed is faster.
【作者單位】： 軍械工程學(xué)院;
【基金】：國家自然科學(xué)基金項目(51307183) 軍內(nèi)科研項目(ZS201507132A1208)~~
【分類號】：V279.3

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本文編號：2133273