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用于自動(dòng)識(shí)別遙感圖像路網(wǎng)信息的改進(jìn)模糊連接度方法

鄭瑾 柳肅 孫煒

鄭瑾, 柳肅, 孫煒. 用于自動(dòng)識(shí)別遙感圖像路網(wǎng)信息的改進(jìn)模糊連接度方法[J]. 電子與信息學(xué)報(bào), 2016, 38(2): 413-417. doi: 10.11999/JEIT150563
引用本文: 鄭瑾, 柳肅, 孫煒. 用于自動(dòng)識(shí)別遙感圖像路網(wǎng)信息的改進(jìn)模糊連接度方法[J]. 電子與信息學(xué)報(bào), 2016, 38(2): 413-417. doi: 10.11999/JEIT150563
ZHENG Jin, LIU Su, SUN Wei. An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image[J]. Journal of Electronics & Information Technology, 2016, 38(2): 413-417. doi: 10.11999/JEIT150563
Citation: ZHENG Jin, LIU Su, SUN Wei. An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image[J]. Journal of Electronics & Information Technology, 2016, 38(2): 413-417. doi: 10.11999/JEIT150563

用于自動(dòng)識(shí)別遙感圖像路網(wǎng)信息的改進(jìn)模糊連接度方法

doi: 10.11999/JEIT150563

An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image

  • 摘要: 針對(duì)遙感圖像中路網(wǎng)信息的自動(dòng)識(shí)別問(wèn)題,該文將小波模極大值邊緣檢測(cè)方法和模糊連接度方法結(jié)合,提出一種改進(jìn)的模糊連接度方法。采用小波模極大值邊緣檢測(cè)方法進(jìn)行模糊連接度種子點(diǎn)的自動(dòng)選擇,解決傳統(tǒng)模糊連接度理論中種子點(diǎn)難以自動(dòng)選擇的問(wèn)題。在此基礎(chǔ)上,對(duì)傳統(tǒng)的模糊相似度計(jì)算公式進(jìn)行簡(jiǎn)化,在保證路網(wǎng)識(shí)別準(zhǔn)確性的同時(shí),大大減少了計(jì)算量。采用來(lái)自Quickbird高分辨商業(yè)遙感衛(wèi)星的3組影像進(jìn)行實(shí)驗(yàn),驗(yàn)證了該文提出的路網(wǎng)識(shí)別方法具有較高的準(zhǔn)確性和計(jì)算速度。
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出版歷程
  • 收稿日期:  2015-05-12
  • 修回日期:  2015-10-19
  • 刊出日期:  2016-02-19

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