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基于 SPOT5影像的红树林种类图谱特征分析和制图
引用本文:刘俊霞,;任广波,;高宁,;吴培强.基于 SPOT5影像的红树林种类图谱特征分析和制图[J].激光生物学报,2014(6):609-613.
作者姓名:刘俊霞  ;任广波  ;高宁  ;吴培强
作者单位:[1]国家海洋局第一海洋研究所,山东青岛266061; [2]国家海洋环境监测中心,辽宁大连116023
基金项目:中欧国际合作龙计划项目(ID:10470);海洋公益性行业科研专项经费项目(201205008-1)
摘    要:本文以英罗港为研究区,利用 SPOT5假彩色合成影像,结合现场踏勘,提取了研究区内分布较广且面积较大的4种红树林种类(白骨壤、桐花、秋茄和红海榄)的图谱特征,并建立了相应的遥感解译标志。利用SVM方法开展了研究区内红树林的分类制图,采用样点验证方法评价提取精度,结果显示,对4种红树林的总体分类精度为86.67%,Kappa 系数为0.82。

关 键 词:遥感  红树林  图谱特征

The Type of Mangrove Features Analysis and Mapping Based on SPOT-5 Image
Institution:LIU Junxia,REN Guangbo,GAO Ning,WU Peiqiang(1. The First Institute of Oceanography, SOA, Qingdao 266061, Shandong, China 2. National Marine Environmental Monitoring Center, Dalian 116023, Liaoning, China)
Abstract:Taking the Yingluo Port as the study area,we analyzed the image features of four dominant species of man-grove (Avicennia marina,Aegiceras corniculatum,Kandelia candel and Rhizophora stylosa)in SPOT-5 false-color com-posite image,supported by the field survey.And the interpretation signs were established accordingly.The SVMmethod was adopted to extract mangrove species from satellite image,and the validation results showed that the overall accuracy was 86.67% and the Kappa coefficient was 0.82.
Keywords:remote sensing  mangroves  image features
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