基于增強(qiáng)指數(shù)加權(quán)均值比的SAR圖像邊緣檢測(cè)算法
doi: 10.11999/JEIT170806 cstr: 32379.14.JEIT170806
基金項(xiàng)目:
中國(guó)電子科技集團(tuán)公司航天信息應(yīng)用技術(shù)重點(diǎn)實(shí)驗(yàn)室開放基金(EX166290025)
Edge Detection Algorithm for SAR Image Based on Enhanced ROEWA
Funds:
The Open Fundation of CETC Key Laboratory of Aerospace Information Applications (EX166290025)
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摘要: 研究學(xué)者們認(rèn)為指數(shù)加權(quán)均值比(ROEWA)算子存在無(wú)法計(jì)算SAR圖像邊緣方向的缺陷。為此，進(jìn)行了一些通過方向?yàn)V波器為ROEWA算法施加方向的工作。該文對(duì)ROEWA算法進(jìn)行了深入的探討和分析，通過對(duì)ROEWA算法卷積過程的進(jìn)一步推導(dǎo)，獲得了ROEWA算法像素級(jí)的觀測(cè)公式。根據(jù)推導(dǎo)結(jié)果，提出了一種增強(qiáng)的ROEWA(EROEWA)邊緣檢測(cè)算法。首先，利用新的卷積策略將ROEWA的公式項(xiàng)解耦，獲得了4個(gè)方向的指數(shù)加權(quán)均值；然后把SAR圖像旋轉(zhuǎn)45，再利用新的卷積策略獲取額外的4個(gè)方向的指數(shù)加權(quán)均值；最后，將8個(gè)方向的指數(shù)加權(quán)均值表示成8個(gè)矢量，通過矢量合成求出邊緣強(qiáng)度和邊緣方向。實(shí)驗(yàn)結(jié)果表明，提出的EROEWA算法不僅具有優(yōu)秀的邊緣方向計(jì)算能力，與ROEWA算法相比，邊緣強(qiáng)度的提取也有顯著的增強(qiáng)效果。
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關(guān)鍵詞:
- 指數(shù)加權(quán)均值比 /
- 觀測(cè)公式 /
- 矢量 /
- 增強(qiáng)指數(shù)加權(quán)均值比
Abstract: Researchers generally consider that Ratio Of Exponentially Weighted Averages (ROEWA) can not calculate the edge directions of SAR images. Therefore, some directional filters are used to add directions to ROEWA. In this paper, an Enhanced ROEWA (EROEWA) algorithm is proposed. Through the further derivation of the ROEWA algorithm convolution process, the pixel-level observation formula of ROEWA algorithm is obtained. First, a new convolution strategy is used to decouple the ROEWA formula to obtain exponentially weighted averages over the four directions. Second, the SAR images are rotated by 45 and exponentially weighted averages of the four additional directions are calculated. Finally, exponentially weighted averages of eight directions are expressed as eight vectors, and edge intensity and direction are solved by vector synthesis. Experimental results show that the EROEWA has a significant enhancement effect on the edge intensity and the direction. -
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