Factors analysis of satellite images based on structure of clouds
-
摘要: 针对卫星遥感图像可用度分类问题,提出基于图像信息的云覆盖率、云厚度、云破碎度的云结构特征描述概念.研究了它们对于卫星遥感图像可用信息量的影响程度,构建了由厚度相关的云覆盖率及云破碎度构成正交可用度评估空间.并进一步分析了云结构特征与可用度之间的近似线性及单调特点,证实了所提描述方法对于可用度表征的合理性和有效性.通过与500幅不同可用度等级的专业人工判读结果比较,证实综合这3个变量的可用度判读结果与人工判读结果的准确度比较达到95%.该方法为建立卫星遥感图像可用度评估模型,自动分类得到用户需要的图像数据提供理论及技术支持.Abstract: To study the classification of satellite images availability, the description about the structural characteristics of clouds by coverage rate, thickness and fragment of clouds based on image information was proposed. The influence of these structural characteristics to satellite images availability was studied,and the orthogonal space of availability assessment was built. The characteristics of approximate linear and monotone between cloud structures and availability of satellite images were analyzed. The 500 satellite images categorized by people trained professionally were used to test the classifier. The result showed that 95% of the images classified by these three characteristics were the same as those classified by people trained professionally. The theoretical and technical support to build availability of satellite image evaluation model and automatically classifies satellite images according to the needs of users was provided by this description.
-
Key words:
- remote sense /
- image quality /
- image classification /
- cloud thickness /
- cloud fragment
-
[1] 曹琼.卫星遥感图像可用度智能评估方法研究 .北京:北京航空航天大学自动化科学与电气工程学院,2008 Cao Qiong.Research on availability evaluation intelligent method of satellite remote sensing image .Beijing:School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,2008(in Chinese) [2] 佟雨兵,张其善,常青,等.基于NN与SVM的图像质量评价模型[J].北京航空航天大学学报,2006,32(9):1031-1034 Tong Yubing,Zhang Qishan,Chang Qing,et al.Image quality assessing model by using neural network and support vector machine[J].Journal of Beijing University of Aeronautics and Astronautics,2006,32(9):1031-1034(in Chinese) [3] 杨威,赵剡,许东.基于人眼视觉的结构相似度图像质量评价方法[J].北京航空航天大学学报,2008,34(1):1-4 Yang Wei,Zhao Yan,Xu Dong.Method of image quality assessment based on human visual system and structural similarity[J].Journal of Beijing University of Aeronautics and Astronautics,2008,34(1):1-4(in Chinese) [4] Ellen M,Hothem D,John M I.The multispectral imagery interpretability rating scale (MS IIRS) //Lewis,Anthony J.ASPRS/ACSM Annual Convention & Exposition Technical Papers.Bethesda:ASPRS/ACSM,1996,1:300-310 [5] 曹琼,郑红,李行善.一种基于纹理特征的卫星遥感图像云探测方法[J].航空学报,2007,28(3):661-666 Cao Qiong,Zheng Hong,Li Xingshan.A method for detecting cloud in satellite remote sensing image based on texture[J].Acta Aeronautica et Astronautica Sinica,2007,28(3):661-666(in Chinese) -
点击查看大图
计量
- 文章访问数: 2865
- HTML全文浏览量: 83
- PDF下载量: 1684
- 被引次数: 0
下载:
