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遥感技术与应用  2004, Vol. 19 Issue (4): 244-248    DOI: 10.11873/j.issn.1004-0323.2004.4.244
技术方法     
GIS支持下的湿地遥感信息高精度分类方法研究
杜红艳,张洪岩,张正祥
东北师范大学国家环境保护湿地生态与植被恢复重点实验室,吉林长春 130024
A Study on the Accurate Classification Approaches for Remote Sensing Image Based on GIS
DU Hong-yan, ZHANG Hong-yan, ZHANG Zheng-xiang
Key Laboratory of Wetland Ecology and Vegetation Restoration for National EnvironmentalProtection,Northeast Normal University,Changchun130024,China
 全文: PDF 
摘要:

遥感影像高精度自动分类方法的实现是制约遥感数据应用的瓶颈之一。以知识和地理信息系统为支撑,进行湿地遥感影像的分类,并对各项分类方法的精度进行比较评价,从而为湿地遥感的分类方法提供依据。实验结果表明经辐射增强降噪处理后湿地边界更加明晰;而对于处于生长期的湿地影像,经过光谱增强缨帽处理后,明显提高了区分湿地亚类的精度。结合以上两种分类方法的优势,利用GIS技术对二者进行空间处理,取长补短,生成了湿地遥感影像分类图。实验证明基于3S技术的分类方法精度更高,是一种较好的湿地影像自动分类方法。

关键词: 遥感湿地分类分类精度    
Abstract:

How to get high accuracy of classification by remote sensing image processing technology is oneof the difficulties in applications of wetland data. The paper discusses the methods to enhance the accuracyof classification for the wetland of Zhalong. First we can noise reductions enhance and tasseled cap enhanceto improve its accuracy. Then compare the classification results of original image with those of the othertwo enhance methods. The results are very similar, i.e., 83.91% of original image, 78.88% of noisereduction and 90.13% of tasseled cap respectively, checked by GPS sample points gained from fields, landcover data of 2000 and Kappa accuracy assessment. Each method has its own advantage in differentiatingthe classes, especially the accuracy in the wetland boundary after noise reduction enhance and the accuracyin the sub classes of wetland after tasseled cap enhance. But none of them is very satisfied. So based onknowledge and the technique of GIS, we can put the advantages of each methods together to gain anexcellent result. The new method is the kernel of this paper, using spatial algebra, which combines thetechnique of RS and GIS together, and it can greatly improve the accuracy and reflect the actual land typesbetter in classification of wetland. Its accuracy can get to 96% after checked by GPS sample points,landcover data of 2000 and visual interpretation. Then we can draw a conclusion that as far as wetlandclassification is concerted, the image enhance before classification can improve its accuracy in some parts,but using spatial algebra based on GIS technology can put the advantage together and get the best result.

Key words: Remote sensing    Wetland    Classification    Accuracy of classification
收稿日期: 2004-01-12 出版日期: 2011-12-26
:  P 208  
基金资助:

本文由国家自然科学基金重点项目(50139020-5-2)资助。

作者简介: 杜红艳(1979-),女,硕士生,从事遥感信息机理研究。
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引用本文:

杜红艳,张洪岩,张正祥. GIS支持下的湿地遥感信息高精度分类方法研究[J]. 遥感技术与应用, 2004, 19(4): 244-248.

DU Hong-yan, ZHANG Hong-yan, ZHANG Zheng-xiang. A Study on the Accurate Classification Approaches for Remote Sensing Image Based on GIS. Remote Sensing Technology and Application, 2004, 19(4): 244-248.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2004.4.244        http://www.rsta.ac.cn/CN/Y2004/V19/I4/244

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