Spatial distribution characteristics of urban landscape pattern based on multi-source remote sensing technology

Abstract

In order to overcome the low efficiency of feature extraction in traditional research methods for spatial distribution of urban landscape pattern, a new research method based on multi-source remote sensing technology is proposed. Combined with the idea of information entropy and grid division, the spatial secondary grid division of urban landscape pattern is completed by multi-source remote sensing technology. The probability density of spatial distribution of urban landscape pattern is calculated according to the results of secondary grid division. The scale pyramid is established to study the spatial distribution characteristics of urban landscape pattern. The experimental results show that the proposed method can effectively realise the research of spatial distribution characteristics of urban landscape pattern, with high efficiency of feature extraction, and the maximum extraction time is only 0.22 min.