發(fā)布時(shí)間：2018-02-08 21:49

  本文關(guān)鍵詞： 水體提取 歸一化差分水體指數(shù) 支持向量機(jī) 改進(jìn)光譜角匹配　出處：《測(cè)繪通報(bào)》2017年10期 　論文類型：期刊論文

【摘要】：快速、準(zhǔn)確地從衛(wèi)星遙感影像上獲取水體信息已成為水資源調(diào)查及監(jiān)測(cè)、濕地保護(hù)、洪澇災(zāi)害評(píng)估等領(lǐng)域的重要技術(shù)手段。本文以GF-4衛(wèi)星的PMS傳感器影像為數(shù)據(jù)源,提出了一種改進(jìn)光譜角匹配(MSAM)的水體信息提取方法,以內(nèi)蒙古中東部和長(zhǎng)江中下游兩個(gè)試驗(yàn)區(qū)為研究對(duì)象,對(duì)比分析了MSAM與單波段閾值法、NDWI閾值法、支持向量機(jī)和光譜角匹配等傳統(tǒng)方法的水體信息提取結(jié)果,并進(jìn)行了精度評(píng)價(jià)。試驗(yàn)結(jié)果表明,本文提出的MSAM方法不僅能準(zhǔn)確地提取水體信息,而且能很好地區(qū)分水體與云陰影,對(duì)細(xì)小水體的提取也具有很好的效果。在內(nèi)蒙古中部和長(zhǎng)江中下游兩個(gè)試驗(yàn)區(qū)的水體提取精度分別達(dá)到99.86%和98.37%,在5種水體提取方法中的精度最高,可以有效地提取水體信息。
[Abstract]:Obtaining water body information from satellite remote sensing image quickly and accurately has become an important technical means in the fields of water resources investigation and monitoring, wetland protection, flood disaster assessment, etc. In this paper, the PMS sensor image of GF-4 satellite is used as the data source. In this paper, an improved spectral angle matching method for extracting water information is proposed. Two experimental areas in the middle and eastern part of Inner Mongolia and the middle and lower reaches of the Yangtze River are taken as the research objects. The MSAM and the single-band threshold method are compared and analyzed. The results of traditional methods such as support vector machine (SVM) and spectral angle matching are used to extract water information, and the accuracy is evaluated. The experimental results show that the proposed MSAM method can not only extract water information accurately. And it can well distinguish between water and cloud shadows, The extraction accuracy of the two experimental areas in the middle part of Inner Mongolia and the middle and lower reaches of the Yangtze River is 99.86% and 98.37, respectively, and the precision of the five methods is the highest, which can effectively extract the water information.
【作者單位】： 中國(guó)科學(xué)院遙感與數(shù)字地球研究所;中國(guó)科學(xué)院大學(xué);
【基金】：高分辨率對(duì)地觀測(cè)系統(tǒng)重大專項(xiàng)(03-Y20A04-9001-15/16;11-Y20A05-9001-15/16)
【分類號(hào)】：P237;P332

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本文編號(hào)：1496353