【摘要】：無(wú)人機(jī)航拍的圖像會(huì)受到橫風(fēng)干擾而產(chǎn)生模糊,因此亟需一種銳度評(píng)價(jià)方法,能夠在短時(shí)間內(nèi)從大量圖像中有效地甄別出存在問題的部分。本文介紹了一種基邊緣檢測(cè)和直方圖信息分析的銳度評(píng)價(jià)方法,通過銳度函數(shù)的構(gòu)建和修正對(duì)照片進(jìn)行批量檢驗(yàn),不僅使評(píng)價(jià)結(jié)果客觀準(zhǔn)確,且運(yùn)算量小適合推廣。該方法能夠幫助外業(yè)人員篩選存在模糊問題的照片,對(duì)提高無(wú)人機(jī)航拍數(shù)據(jù)采集工作的質(zhì)量和效率有較大的幫助。
[Abstract]:The images of UAV aerial photography will be blurred by crosswind disturbance, so it is urgent to use an acuity evaluation method to effectively identify the defective parts from a large number of images in a short period of time. In this paper, a method of acuity evaluation for base edge detection and histogram information analysis is introduced. By constructing and modifying the sharpness function, a batch inspection of photographs is carried out, which not only makes the evaluation results objective and accurate, but also has a small amount of computation suitable for popularization. This method can help field workers to screen photos with fuzzy problems, and improve the quality and efficiency of aerial photography data acquisition of UAV.
【作者單位】： 浙江華東測(cè)繪地理信息有限公司;昆明理工大學(xué);
【分類號(hào)】：P23
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本文編號(hào)：2401130