發(fā)布時(shí)間：2018-01-11 21:37

  本文關(guān)鍵詞：基于決策樹(shù)與密度聚類的高分辨率影像海岸線提取方法　出處：《海洋環(huán)境科學(xué)》2017年04期 　論文類型：期刊論文

  更多相關(guān)文章： 密度聚類 決策樹(shù) 高分辨率影像 海岸線提取

【摘要】：針對(duì)高分辨率影像進(jìn)行海岸線提取時(shí)常常出現(xiàn)的河道區(qū)域岸線向陸地方向伸向較遠(yuǎn)的問(wèn)題,本文將海岸線視為海水(包括潮灘)與陸地(包括河流)兩類地物的分界線進(jìn)行提取。首先采用C4.5決策樹(shù)分類方法進(jìn)行海岸帶地物分類規(guī)則挖掘,實(shí)現(xiàn)基于規(guī)則的地物分類;再對(duì)海水與陸地分類結(jié)果進(jìn)行基于密度的聚類方法進(jìn)行后處理,實(shí)現(xiàn)噪聲去除,其基本原理為:設(shè)置一鄰域半徑,通過(guò)統(tǒng)計(jì)半徑內(nèi)異類樣本點(diǎn)的數(shù)量來(lái)確定當(dāng)前點(diǎn)是否為噪聲點(diǎn),若異類像素點(diǎn)的個(gè)數(shù)超過(guò)某一預(yù)設(shè)的閾值,則對(duì)當(dāng)前噪聲點(diǎn)進(jìn)行修正。為驗(yàn)證本文提出方法的有效性,獲取了2013年10月20日天津附近海岸帶區(qū)域的資源三號(hào)衛(wèi)星影像數(shù)據(jù)進(jìn)行驗(yàn)證,結(jié)果表明,本文提出的岸線提取方法能夠消除河道區(qū)域岸線提取的影響,除個(gè)別地物比較復(fù)雜的區(qū)域之外,其平均提取精度優(yōu)于2個(gè)像元,滿足海域遙感技術(shù)規(guī)程中線狀信息誤差標(biāo)準(zhǔn)的要求。
[Abstract]:In the process of shoreline extraction from high-resolution images, the problem of channel regional shoreline extending to land is often encountered. In this paper, shoreline is regarded as the boundary line between sea water (including tidal flat) and land (including river). Firstly, C4.5 decision tree classification method is used to mine coastal features classification rules. Realization of rule-based feature classification; Then the classification results of seawater and land are processed by density-based clustering method to achieve noise removal. The basic principle is to set a neighborhood radius. By counting the number of heterogeneous sample points in the radius to determine whether the current point is a noise point, if the number of different pixel points exceeds a preset threshold. In order to verify the effectiveness of the proposed method, the satellite image data of resource 3 in the coastal zone area near Tianjin on October 20th 2013 are obtained and verified. The results show that the proposed method is effective. The method of shoreline extraction proposed in this paper can eliminate the influence of shoreline extraction in river area. The average extraction accuracy of the method is better than that of two pixels except for some complicated areas. Meet the requirements of the standard of linear information error in the remote sensing technical specification of the sea area.
【作者單位】： 青島大學(xué)數(shù)據(jù)科學(xué)與軟件工程學(xué)院;國(guó)家海洋環(huán)境監(jiān)測(cè)中心;國(guó)家海洋局海域管理技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(41506198) 國(guó)家海洋局國(guó)家海域管理技術(shù)重點(diǎn)實(shí)驗(yàn)室開(kāi)放基金項(xiàng)目(201205) 海域使用動(dòng)態(tài)監(jiān)測(cè)和污染監(jiān)測(cè)研究專項(xiàng)(Y30B12-9001-14/16) 青島市科技發(fā)展計(jì)劃(13-1-4-121-jch,13-1-4-156-jch)
【分類號(hào)】：P715.7
【正文快照】： 海岸線定義為平均大潮高潮時(shí)的海陸分界線[1]。我國(guó)海岸線全長(zhǎng)約為3.2萬(wàn)km,其中大陸海岸線長(zhǎng)約1.8萬(wàn)km,島嶼海岸線長(zhǎng)約1.4萬(wàn)km。如何可靠、準(zhǔn)確、實(shí)時(shí)的監(jiān)測(cè)海岸線的變化并測(cè)定其位置,對(duì)我國(guó)國(guó)家安全戰(zhàn)略、沿海地區(qū)的經(jīng)濟(jì)建設(shè)、海洋生態(tài)保護(hù)、可持續(xù)發(fā)展等具有十分重要的意義

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