Remote sensing image texture enhancement based on HSV-BEMD algorithm

M. Ma; Guoao Feng

doi:10.1117/12.2540110

14 August 2019 Remote sensing image texture enhancement based on HSV-BEMD algorithm

M. Ma, Guoao Feng

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111792U (2019) https://doi.org/10.1117/12.2540110
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

Remote sensing image texture feature is of great importance, especially used in geological mapping and tectonic interpretation. In this paper, HSV algorithm is used to transform a multi-band color image into HSV colorspace, texture feature in the brightness component V and a panchromatic image is extracted by bi-dimensional empirical mode decomposition (BEMD), in which radial basis function(RBF) interpolation is used to fit the envelops. As the texture feature of high frequency usually exists in the first IMF, the summation of their first IMF and the panchromatic image is taken as a substitute for the brightness component V, then the enhanced color image is obtained by HSV inverse transformation. Compared with other texture enhancement algorithms like Canny and wavelet transform, objectively evaluated by variance, Shannon information, average gradient and spatial frequency, the algorithm in this paper is proved effective in multi-band color image texture enhancement with panchromatic band. The whole process is executed on MATLAB2010b platform self-adaptively.

Citation Download Citation

M. Ma and Guoao Feng "Remote sensing image texture enhancement based on HSV-BEMD algorithm", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111792U (14 August 2019); https://doi.org/10.1117/12.2540110

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