基于去相关拉伸光谱增强的HJ-1影像水体信息提取方法研究  

Research on Extraction Method of Water Body with DS Spectral Enhancement Based on HJ-1 Images

作　　者：邓睿[1,4] 黄敬峰[1,2] 王福民[3] 

机构地区：[1]浙江大学遥感与信息技术应用研究所,浙江杭州310029 [2]环境修复与生态健康教育部重点实验室,浙江大学环境与资源学院,浙江杭州310029 [3]浙江大学建工学院水文水资源研究所,浙江杭州310027 [4]浙江省农业遥感与信息技术重点研究实验室,浙江杭州310029

出　　处：《光谱学与光谱分析》2011年第11期3064-3068,共5页Spectroscopy and Spectral Analysis

基　　金：国家科技支撑课题项目(2006BAD10A09-01);国家(863计划)课题项目(2006AA120101);国家自然科学基金项目(40871158/D0106)资助

摘　　要：当今人类面临着一系列全球性问题,自然灾害是其中之一,而做好防灾减灾工作的重要前提就是做好对灾害的监测。本文利用HJ-1星2009年台风"莫拉克"前后多时相影像,首先进行辐射定标和影像配准,然后进行去相关拉伸(decorrelation stretch,DS)光谱增强,再采用最大似然分类法(Maximum likelihoodclassification)进行分类,提取水体信息,监测台风暴雨引起的水体变化情况。结果表明,DS光谱增强之后,各波段的相关性大幅减小,各种地物在影像上的光谱差异增大,有利于最大似然法分类时各地物的识别,各个时相总体分类精度高于96.0%,Kappa系数也大于0.94,比未进行DS光谱增强的分类精度高;最终提取出各时相水体信息,通过比较不同时相的水库水面面积,可以为合理地调度泄洪,保证水库下游的安全提供决策依据。Natural disaster is one of the major global issues,and it is an important premise for disaster prevention and reduction to monitor it.In the present paper,multi-temporal HJ-1 images pre-and posto-typhoon Morakot were used.First,radiometric calibration and registration were done,then,decorrelation stretch（DS） was applied,and finally,maximum likelihood classification（MLC） was adopted to extract water body and monitor change of water body caused by typhoon Morakot.The results show that after DS spectral enhancement,the correlations among bands decrease and spectral differences increase,and it is helpful to identify surface features.The accuracy assessment demonstrates that the overall accuracies and Kappa coefficients of four phases are higher,above 96.0% and 0.94 respectively,than that of direct MLC without DS spectral enhancement.It is beneficial to scheduling flood discharge and ensuring the safety of reservoir downstream by comparing extracted multi-temporal water bodies.

关 键 词：DS光谱增强 HJ-1星 水体信息 台风“莫拉克” 最大似然分类法 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]