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“资源一号”02C卫星影像特征
引用本文:夏自进,;荆提贤,;汤卫畅.“资源一号”02C卫星影像特征[J].测绘与空间地理信息,2014(8):113-116.
作者姓名:夏自进  ;荆提贤  ;汤卫畅
作者单位:[1] 吉林大学应用技术学院,吉林长春130012; [2] 黑龙江省地质测绘院,黑龙江哈尔滨150030; [3] 吉林大学地球探测科学与技术学院,吉林长春130026
摘    要:结合有关项目数据处理的需要,对02C卫星影像特征进行科学分析与应用研究。通过对影像信息量特征、配准特征及融合特征分析,发现岩石裸露区影像各波段信息量大,但是波段间相关性强,地类边界模糊,而植被覆盖区影像各波段信息量相对较小,波段间相关性较小,地类可分性较好;MUS影像与PAN影像配准精度一般能达到1个像元,而MUS影像与HRC影像配准比较困难,HRC影像需要正射校正或者强制拉伸,才能满足精度要求;主成分分析方法融合效果比较好,MUS影像与HRC影像融合效果优于MUS影像与PAN影像融合。分析结果表明:02C数据适用于土地覆被调查,若用于地质信息解译,需要进一步技术处理;HRC影像分辨率高,但数据处理方法有待于进一步探讨。

关 键 词:信息量特征  配准特征  融合特征  岩石裸露区  植被覆盖区  C卫星

ZY-102 C Satellite Image Characteristics
Institution:XIA Zi-jin, JING Ti-xian, TANG Wei-chang (1. AppliedTechnology College of Jilin University, Changchun 130012, China; 2. Heilongjiang Minerals Bureau Survey Courtyard, Harbin 150030, China; 3. College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China)
Abstract:Based on the needs of data processing in the project , we studied analyzed and researched on the 02C image characteristic . The image of the exposed rock area contains the most abundant band information with strong correlations between bands which makes a fuzzy classification .On the contrast , the image of vegetation area carries relatively smaller amount of information with low correlation between bands which shows that the classification is clear .The registration accuracy of MUS and PAN images could reach within one pixel.However, the registration of MUS and HRC images need extra process with orthorectification or stretching of HRC image to pro -vide the necessary accuracy .As to the image fusion, the effect of MUS and HRC image fusion is better than that of MUS and PAN in the principal component analysis , which is the best way for the image fusion .Finally, 02C data is suitable for the land cover investiga-tion while it needs further processing if it is applied to the interpretation of geological information .Meanwhile,even though the image resolution of HRC is very high , the method for the data processing needs to be further discussed .
Keywords:information content  image registration  image fusion  bare rock area  vegetation area  02C satellite
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