基于混合像元分解的辽河口滨海湿地分类
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摘要
滨海湿地高精度的地物分类可以为湿地监测与保护提供数据支持和决策依据。以辽河口湿地为研究对象,以Landsat8 OLI多光谱影像为数据源,结合研究区域实际地物情况,采用像元纯度指数和均值波谱法确定端元光谱,并利用全约束最小二乘混合像元技术和决策树技术制定分类规则,最后将研究区域分为芦苇、翅碱蓬、水稻、滩涂、水体(海水、虾池水、河水等)和人工建筑(包括路面、人工设施、房屋等)六大类。结果表明:该算法分类精度高于90%,结合目视判读与野外实地调查,发现分类结果符合实际地物情况。
To classify the Liaohe Estuary,a new classification strategy was prosposed by the fully constrained least squares(FCLS) unmixing model and decision tree for the Landsat 8 OLI data.The accuracy assessment which adopts traditional error matrices with man-made region of areas is higher than 90%.Meanwhile,comparison between the traditional supervised and the unsuperviesed classificational algorithms(maximum likelihood method and ISODATA algorithm) proved that the new classification scheme can get more accurate estimates of coastal wetland landscape classification.The classification can provide data and decision support for the monitoring and protection of the regional feature.
To classify the Liaohe Estuary,a new classification strategy was prosposed by the fully constrained least squares(FCLS) unmixing model and decision tree for the Landsat 8 OLI data.The accuracy assessment which adopts traditional error matrices with man-made region of areas is higher than 90%.Meanwhile,comparison between the traditional supervised and the unsuperviesed classificational algorithms(maximum likelihood method and ISODATA algorithm) proved that the new classification scheme can get more accurate estimates of coastal wetland landscape classification.The classification can provide data and decision support for the monitoring and protection of the regional feature.
引文
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惠巍巍,衣德萍,廖彩霞,等.2007.混合像元分解研究综述[J].林业科技情报,39(1):2-3
江辉,周文斌,刘瑶.2008.鄱阳湖湿地遥感分类研究及应用[J].遥感技术与应用,23(6):648-652,604
李素,李文正,周建军,等.2007.遥感影像混合像元分解中的端元选择方法综述[J].地理与地理信息科学,23(5):35-38,42
吕长春,王忠武,钱少猛.2003.混合像元分解模型综述[J].遥感信息(3):55-60
吴见,彭道黎.2011.改进线性光谱混合分解模型湿地信息提取[J].中国农业大学学报,16(3):140-144
岳文泽,徐丽华,徐建华,等.2006.城市多光谱遥感像元分解技术改进研究[J].浙江大学学报:工学版,40(4):719-723
张明祥,董瑜.2002.双台河口自然保护区濒海湿地景观变化及其管理对策研究[J].地理科学,22(1):119-122
张婷婷.2007.双台河口湿地生态环境现状遥感调查分析[D].沈阳:沈阳农业大学学位论文
张晓龙,李培英,李萍,等.2005.中国滨海湿地研究现状与展望[J].海洋科学进展,23(1):87-95
张雪红.2011.基于知识与规则的红树林遥感信息提取[J].南京信息工程学报:自然科学版,3(4):341-345
Berman M,Kiiveri H,Lagerstrom R,et al.2004.Aatatistical approach to identifying endmembers in hyperspectral images[J].IEEETransactions on Geoscience and Remote Sensing,42(10):2085-2095
Michishita R,Gong P,Xu B.2012.Spectral mixture analysis for bisensor wetland mapping using Landsat TM and Terra MODISdata[J].International Journal of Remote Sensing,33(11):3373-340