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基于多特征的高分辨率遥感图像分析 被引量:1

Multiple Features Based Analysis of High-resolution Remotely Sensed Imagery
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摘要 为克服传统的基于像元的遥感图像分析的局限性,提出基于多特征的高分辨率遥感图像分析方法,并以北京地区亚运村的城市土地利用的识别检测为例对该方法进行相应的阐述。
出处 《测绘通报》 CSCD 北大核心 2004年第10期4-6,共3页 Bulletin of Surveying and Mapping
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参考文献8

  • 1MASELLI F, RUDOLF A,CONESE C. Fuzzy Classification of Spatially Degraded Thematic Mapper Data for the Estimation of Sub-Pixel Components[J]. International Journal of Remote Sensing, 1996, 17: 537-551.
  • 2FOODY G. Image Classification with a Neural Network:From Completely-crisp to Fully Fuzzy Situations[ A]. In:Advances in Remote Sensing and GIS Analysis [ C ].Chichester:Wiley & Son,1997. 17-37.
  • 3SKIDMORE A, TURNER B, BRINKHOF W, et al.Performance of Neural Network: Mapping Forests Using GIS and Remotely Sensed Data [J]. Photogrammetric Engineering and Remote Sensing, 1997, 63: 501-514.
  • 4HODGSON M E. What Size Window for Image Classification? A Cognitive Perspective [ J]. Photogrammetric Engineering & Remote Sensing, 1998,64(8): 797-807.
  • 5HARRIS P M, VENTURA S J.The Integration of Geographic Data with Remotely Sensed Imagery to Improve Classification in an Urban Area [ J]. Photogrammetric Engineering & Remote Sensing, 1995,61 (8): 993-998.
  • 6骆剑承,梁怡,周成虎.基于尺度空间的分层聚类方法及其在遥感影像分类中的应用[J].测绘学报,1999,28(4):319-324. 被引量:33
  • 7周成虎.遥感图像地学理解与分析[M].北京:科学出版社,2001..
  • 8章毓晋.图像分割[M].北京:科学出版社,2001..

二级参考文献5

  • 1胡守仁 余少波 等.神经网络导论:Boltzmann机[M].长沙:国防科技大学出版社,1991..
  • 2Wong Y F,IEEE Trans Geosci Remote Sensing,1993年,31卷,3期,634页
  • 3Wong Y F,Neural Computation,1993年,5期,89页
  • 4沈清,模式识别导论,1991年
  • 5胡守仁,神经网络导论,1991年

共引文献608

同被引文献4

  • 1明冬萍,骆剑承,周成虎,汪闽,郑江,陈秋晓,沈占锋.高分辨率遥感影像信息提取及块状基元特征提取[J].数据采集与处理,2005,20(1):34-39. 被引量:44
  • 2[1]Hofmann P,Reinhardt W.The extraction of GIS features from high resolution imagery using advanced methods based on additional contextual information-first experience[A].In:International association for primate refuges and sanctuaries[c].
  • 3[2]Schyns PG,Goldstone RL,Thibaut JP.The development of features in object concepts[J].Behavior and Brain Sciences,1998,21,(1):1~54.
  • 4[12]eCognition user guide[Z].http://www.definiens-imaging.com/down/trial.htm,2004.

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