期刊论文详细信息
ETRI Journal
An Application of Canonical Correlation Analysis Technique to Land Cover Classification of LANDSAT Images
关键词: GIS;    LANDSAT images;    canonical correlation analysis;    digital image processing;    classification;    remote sensing;   
Others  :  1184202
DOI  :  10.4218/etrij.99.0199.0405
PDF
【 摘 要 】

This research is an attempt to obtain more accurate land cover information from LANDSAT images. Canonical correlation analysis, which has not been widely used in the image classification community, was applied to the classification of a LANDSAT images. It

【 授权许可】

   

【 预 览 】
附件列表
Files Size Format View
20150520101943987.pdf 458KB PDF download
【 参考文献 】
  • [1]Y.I.I. Kim, Impiming Con-ectness in Tlie Satellite Remote Sensing Data Analysis-Laying Stresses on the Topographie Spectral Réflectance Convction and the Statistical Classification Techniques, doctoral dissertation, Seoul National University, 1991.
  • [2]H.W. Nam, Quantitativ Geography, Peop Mun Sa, Seoul, Korea, 1992.
  • [3]H.Y. Lee, Geographic Statistics, Peop Mun Sa, Seoul, Korea, 1991.
  • [4]M.S. Bartlett, "The Statistical Significance of Canonical Correlations," Biometrica, vol. 32, 1941.
  • [5]D. Clark, Understanding Canonical Con-elation Analysis, Norwich: Geo Abstracts Ltd, 1975.
  • [6]R.G. Congalton, "A review of assessing the accuracy of classifications of remotely sensed data," Remote Sensing of Environment, vol. 37, no. 1, 1991, pp. 35-46.
  • [7]R.G. Congalton, M. Balogh, C. Bell, K. Green, J.A. Milliken and R. Ottman, "Mapping and monitoring agricultural crops and other land cover in the lower Colorado River Basin," Photogrammetric Engineering and Remote Sensing, vol. 64, no. 11, 1998, pp. 1107-
  • [8]R.G. Congalton, K. Green, Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, CRC/Lewis Press, 1999, pp. 43-53.
  • [9]ERDAS Field Guide, Fourth Edition, ERDAS Inc., Atlanta, Georgia, 1997.
  • [10]F.D. Wilson, Institute for Research on Powrty-Canonical Congelation and the Relation Bchveeii Sets of Variables, doctoral dissertation, University of Wisconsin-Madison, 1975.
  • [11]Hiroshi Hanaizumi, Shinji Chino and Sadao Fujimura, "Binary division algorithm for clustering remotely sensed multispectral images," IEEE Transactions on Instrumentation and Measurement, vol. 44, no. 3, 1995. pp. 759-763.
  • [12]M.E. Jakubauskas, "Canonical correlation analysis of coniferous forest spectral and biotic relations," International Journal of Remote Sensing, vol. 17, no. 12, 1996, pp. 2323-2332.
  • [13]J.R. Jensen, "Introductory digital image processing: a remote sensing perspective. Second edition," Introductory digital image processing: a remote sensing perspective. Second edition, 1996, pp. 316.
  • [14]C.P. Lo and L.J. Watson, "The influence of geographic sampling methods on vegetation map accuracy evaluation in a swampy environment," Photogrammetric Engineering and Remote Sensing, vol. 64, no. 12, 1998, pp. 1189-1200.
  • [15]R.D. Macleod and R.G. Congalton, "A quantitative comparison of change-detection algorithms for monitoring eelgrass from remotely sensed data," Photogrammetric Engineering and Remote Sensing, vol. 64, no. 3, 1998, pp. 207-216.
  • [16]M.J. Carlotto, "Spectral shape classification of landsat thematic mapper imagery," Photogrammetric Engineering and Remote Sensing, vol. 64, no. 9, 1998, pp. 905-913.
  • [17]S.V. Muller, D.A. Walker, F.E. Nelson, N.A. Auerbach, J.G. Bockheim, S. Guyer and D. Sherba, "Accuracy assessment of a land-cover map of the Kuparuk River basin, Alaska: Considerations for remote regions," Photogrammetric Engineering and Remote Sensing, v
  • [18]N.M. Short, Remote Sensing and Photo Interpretation Tutorial, Goddard Space Flight Center, NASA, 1997, pp. 13-23.
  • [19]Irmgard Niemeyer, Morton Canty and Dieter Klaus, "Possibilities and limits of remote sensing for the verification of international agreements: algorithms to detect changes at nuclear plants," International Geoscience and Remote Sensing Symposium (IGARSS),
  • [20]Hiroshi Okumura, Tadashi Sugita, Hironori Matsumoto, and Nobuo Takeuchi, "Noise reduction method for lidar echo data based on multivariate analysis method," International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2, 1993, pp. 454-456.
  • [21]P. Torranin, Aplicability of Canonical Correlation in Hydrology, hydrology papers, Colorado State University, 1972.
  • [22]R.A. Johnson, and D.W. Wiehern, Applied Midtivaiiate Statistical Analysis, Third Edition, Prentice Hall, 1992.
  • [23]R.M. Korobov and V.Y. Railyan, "Canonical correlation relationships among spectral and phytometric variables for twenty winter wheat fields," Remote Sensing of Environment, vol. 43, no. 1, 1993, pp. 1-10.
  • [24]K.M.S. Sharma and A. Sarkar, "A modified contextual classification technique for remote sensing data," Photogrammetric Engineering and Remote Sensing, vol. 64, no. 4, 1998, pp. 273-280.
  • [25]K.V. Shettigara, "Linear transformation technique for spatial enhancement of multispectral images using a higher resolution data set," Digest - International Geoscience and Remote Sensing Symposium (IGARSS), vol. 4, 1989, pp. 2615-2618.
  • [26]T.M. Lillesand and R.W. Kiefer, Remote Sensing and Image Interrelation, Third Edition, 1994.
  文献评价指标  
  下载次数:4次 浏览次数:12次