Computer Science ›› 2016, Vol. 43 ›› Issue (2): 38-40.doi: 10.11896/j.issn.1002-137X.2016.02.008

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Super-resolution Mapping Using Pixel-swapping Based on Integration of Coarse-scale Spatial Heterogeneity and Fine-scale Spatial Homogeneity

HU Jian-long, LI De-yu and BAI He-xiang   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Spatial dependence characterization plays a key role for super-resolution mapping.Experiments and observations show that the coarse-scale spatial heterogeneity characterization can better describe spatital heterogeneity of ground objects between different classes,while the fine-scale spatial homogeneity characterization can better describe spatital homogeneity of ground objects in the same class.This paper proposed a new algorithm for super-resolution mapping using pixel-swapping strategy based on the combination of spatial heterogeneity at coarse scale and homogeneity at fine scale.The integration of coarse-scale heterogeneity and fine-scale homogeneity will better represent features of complex land cover.Experimental results on the sythentic image further validate the effectiveness of algorithm and it achieves higher precision under the premise of the same fraction information.

Key words: Homogeneity,Heterogeneity,Super-resolution mapping

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