發(fā)布時(shí)間：2019-05-26 18:59

【摘要】：在航天航空光學(xué)遙感艦船目標(biāo)檢測中,受大氣、光照、云霧和海島等海面不確定條件的影響,傳統(tǒng)的艦船檢測方法存在檢測效率低和可靠性差等問題,因此,本文提出一種無監(jiān)督海面艦船目標(biāo)自動檢測方法。該方法以視覺顯著性為依據(jù),結(jié)合多顯著性檢測模型快速搜索海面目標(biāo),生成顯著圖后對其進(jìn)行粗分割,對提取的目標(biāo)切片做標(biāo)記并進(jìn)行精細(xì)分割,利用改進(jìn)的Hough變換旋轉(zhuǎn)目標(biāo)主軸以保證目標(biāo)對Y軸的對稱性;對可能檢測到的厚重云層和島嶼等偽目標(biāo)使用梯度方向特征進(jìn)行鑒別,通過判定目標(biāo)在360°范圍內(nèi)8個(gè)區(qū)間的梯度幅度統(tǒng)計(jì)值,確認(rèn)艦船目標(biāo)及去除偽目標(biāo)。實(shí)驗(yàn)結(jié)果表明,該艦船檢測方法能夠成功提取海面上大小不同,位置隨機(jī)分布的艦船目標(biāo),準(zhǔn)確獲取艦船目標(biāo)的數(shù)量和位置信息,在大量真實(shí)光學(xué)遙感圖像上的測試結(jié)果顯示,本文方法檢測準(zhǔn)確率高于93%,通過目標(biāo)鑒別處理,剔除偽目標(biāo)后,虛警率可低于4%,魯棒性較強(qiáng)。
[Abstract]:In aerospace optical remote sensing ship target detection, due to the influence of uncertain sea surface conditions such as atmosphere, light, clouds and islands, the traditional ship detection methods have some problems, such as low detection efficiency and poor reliability. In this paper, an automatic detection method for unsupervised sea surface ship targets is proposed. This method is based on visual significance, combined with multi-significance detection model to quickly search the sea surface target, generates a significant map and carries on the rough segmentation to it, marks the extracted target slice and carries on the fine segmentation. The improved Hough transform is used to rotate the target spindle to ensure the symmetry of the target to the Y axis. The gradient direction characteristics of false targets such as thick clouds and islands are identified. By determining the gradient amplitude statistics of the target in the range of 360 擄, the ship target is confirmed and the pseudo target is removed. The experimental results show that the ship detection method can successfully extract the ship targets with different sizes and randomly distributed positions, and accurately obtain the number and position information of the ship targets. The test results on a large number of real optical remote sensing images show that the ship detection method can successfully extract the ship targets with different sizes and randomly distributed positions, and accurately obtain the number and position information of the ship targets. The detection accuracy of this method is higher than 93%. After eliminating false targets, the false alarm rate can be less than 4%, and the robustness is strong.
【作者單位】： 中國科學(xué)院長春光學(xué)精密機(jī)械與物理研究所航空光學(xué)成像與測量重點(diǎn)實(shí)驗(yàn)室;中國科學(xué)院大學(xué);
【基金】：國家自然科學(xué)基金資助項(xiàng)目(No.60902067) 吉林省重大科技攻關(guān)項(xiàng)目(No.11ZDGG001)
【分類號】：TP751

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1 林大鈞;平面場的梯度圖解方法與應(yīng)用[J];華東理工大學(xué)學(xué)報(bào);1998年01期

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