HU Xunyong, YANG Xiaomei, LI Haoyi, et al. Structural missing image inpainting based on low rank and sparse prior[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(5): 855-862. doi: 10.13700/j.bh.1001-5965.2020.0663(in Chinese)
Citation: Zheng Hong, Wu Xinghua, Cao Qiong, et al. Factors analysis of satellite images based on structure of clouds[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(12): 1396-1399. (in Chinese)

Factors analysis of satellite images based on structure of clouds

  • Received Date: 04 Nov 2009
  • Publish Date: 30 Dec 2010
  • 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.

     

  • [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)
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