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author:

Liu, J. (Liu, J..) [1] | Mao, Z. (Mao, Z..) [2]

Indexed by:

Scopus

Abstract:

The discrepancies among the spectral range of the component bands of MHSRRSI will result in remarkable differences of the response extent to detect edges of geographical features. Considering the unique property of each color space, an improved Canny operator has been proposed which is available to detect and extract vector or scalar edges from MHSRRSI in weighted color space (such as RGB, linear YIQ and YUV, nonlinear IHS, and uniform CIELUV). Suggestions on feature selection and color space suitability analysis for detecting edges of geographical features from MHSRRSI are also discussed. © 2010 IEEE.

Keyword:

MHSRRSI; Suitability analysis; Vector and scalar edge detection; Weighted color space

Community:

  • [ 1 ] [Liu, J.]Provincial Spatial Information Engineering Research Center, Fuzhou University, Fuzhou, 350002, China
  • [ 2 ] [Liu, J.]Key Laboratory of Spatial Data Mining and Information, Sharing of Ministry of Education, Fuzhou University, Fuzhou, 350002, China
  • [ 3 ] [Mao, Z.]Provincial Spatial Information Engineering Research Center, Fuzhou University, Fuzhou, 350002, China
  • [ 4 ] [Mao, Z.]Key Laboratory of Spatial Data Mining and Information, Sharing of Ministry of Education, Fuzhou University, Fuzhou, 350002, China

Reprint 's Address:

  • [Liu, J.]Provincial Spatial Information Engineering Research Center, Fuzhou University, Fuzhou, 350002, China

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Source :

Proceedings - 2010 2nd International Conference on Multimedia Information Networking and Security, MINES 2010

Year: 2010

Page: 932-935

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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