|
|||||
|
|
| 基于去相关拉伸光谱增强的H J-1影像水体信息提取方法研究 | |
| 作者姓名： | Deng R Huang JF Wang FM |
| 作者单位： | 1. 浙江大学遥感与信息技术应用研究所,浙江杭州 310029;浙江省农业遥感与信息技术重点研究实验室,浙江杭州310029 2. 浙江大学遥感与信息技术应用研究所,浙江杭州 310029;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T学院水文水资源研究所,浙江杭州,310027 |
| 基金项目： | 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H J-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 likeli... |
| 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 |
Research on extraction method of water body with DS spectral enhancement based on HJ-1 images |
|
| Deng R,Huang JF,Wang FM.Research on extraction method of water body with DS spectral enhancement based on HJ-1 images[J].Spectroscopy and Spectral Analysis,2011,31(11):3064-3068. | |
| Authors: | Deng Rui Huang Jing-Feng Wang Fu-Min |
| Institution: | DENG Rui1,4,HUANG Jing-feng1,2,WANG Fu-min3 1.Institute of Remote Sensing and Information System Application,Zhejiang University,Hangzhou 310029,China 2.Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health,College of Natural Resources and Environmental Science,China 3.Institute of Hydrology and Water Resource,Hangzhou 310027,China 4.Key Laboratory of Agricultural Remote Sensing & Information System,Zhejiang University... |
| Abstract: | 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 enhanc... |
| Keywords: | DS spectral enhancement HJ-1 Water information Typhoon Morakot Maximum likelihood classification |
| 本文献已被 CNKI 万方数据 PubMed 等数据库收录！ | |