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一種改進(jìn)的ACM算法及其在鄱陽(yáng)湖水域監(jiān)測(cè)中的應(yīng)用

冷英 劉忠玲 張衡 王宇 李寧

冷英, 劉忠玲, 張衡, 王宇, 李寧. 一種改進(jìn)的ACM算法及其在鄱陽(yáng)湖水域監(jiān)測(cè)中的應(yīng)用[J]. 電子與信息學(xué)報(bào), 2017, 39(5): 1064-1070. doi: 10.11999/JEIT160870
引用本文: 冷英, 劉忠玲, 張衡, 王宇, 李寧. 一種改進(jìn)的ACM算法及其在鄱陽(yáng)湖水域監(jiān)測(cè)中的應(yīng)用[J]. 電子與信息學(xué)報(bào), 2017, 39(5): 1064-1070. doi: 10.11999/JEIT160870
LENG Ying, LIU Zhongling, ZHANG Heng, WANG Yu, LI Ning. Improved ACM Algorithm for Poyang Lake Monitoring[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1064-1070. doi: 10.11999/JEIT160870
Citation: LENG Ying, LIU Zhongling, ZHANG Heng, WANG Yu, LI Ning. Improved ACM Algorithm for Poyang Lake Monitoring[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1064-1070. doi: 10.11999/JEIT160870

一種改進(jìn)的ACM算法及其在鄱陽(yáng)湖水域監(jiān)測(cè)中的應(yīng)用

doi: 10.11999/JEIT160870 cstr: 32379.14.JEIT160870
基金項(xiàng)目: 

國(guó)家自然科學(xué)基金優(yōu)秀青年基金(61422113)

Improved ACM Algorithm for Poyang Lake Monitoring

Funds: 

The National Natural Science Fund of China for Excellent Young Scholars (61422113)

  • 摘要: Sentinel-1合成孔徑雷達(dá)(SAR)衛(wèi)星具有測(cè)繪帶寬、重訪周期短、分辨率高等優(yōu)點(diǎn),為長(zhǎng)時(shí)間的水域監(jiān)測(cè)提供數(shù)據(jù)基礎(chǔ)。2016年長(zhǎng)江中下游地區(qū)洪澇災(zāi)害嚴(yán)重,鄱陽(yáng)湖是長(zhǎng)江干流的重要調(diào)蓄性湖泊之一,基于SAR圖像的鄱陽(yáng)湖水域提取及其變化檢測(cè)具有重要意義。然而受相干斑噪聲的影響,尤其是在鄱陽(yáng)湖分布較廣、地物背景較復(fù)雜、弱邊緣和模糊邊緣較多的情況下,傳統(tǒng)的水域分割方法邊緣保持性較差、提取精度較低。針對(duì)上述問題,該文提出一種基于局部窄帶的ACM邊緣提取算法,并將其應(yīng)用于Sentinel-1A獲取的鄱陽(yáng)湖水域時(shí)序觀測(cè)圖像中。該算法首先采用兩級(jí)Otsu方法獲取初始輪廓,隨后在初始輪廓附近建立局部窄帶,最后在窄帶內(nèi)采用基于區(qū)域的ACM方法進(jìn)行輪廓線演化來(lái)解決弱邊緣或模糊邊緣問題。實(shí)驗(yàn)結(jié)果表明該方法在邊緣保持和分割精度上具有明顯優(yōu)勢(shì),并且降低了計(jì)算時(shí)間。
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出版歷程
  • 收稿日期:  2016-08-24
  • 修回日期:  2017-01-20
  • 刊出日期:  2017-05-19

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