Multi-temporal Remote Sensing Optimization Algorithm for the Layout of Aging-Friendly Residential Areas in Rural Living Environment
The current layout focuses on the consideration of a single phase,lacking consideration for multi-phase changes,re-sulting in the layout effect not reaching the ideal state.A multi-temporal remote sensing optimization algorithm for the layout of aging-friendly residential areas in rural living environments has been proposed to address this issue.Design a multi temporal re-mote sensing image detection process for the layout of aging-friendly residential areas,and obtain the difference image between the two remote sensing images.After multi-resolution decomposition,analyze the detection results of images at different scales and calculate a reasonable layout scale.Extract the peak value of the gradient direction histogram and identify the layout bound-ary lines.Using a two-dimensional Gabor filter,obtain a set of filtered image amplitudes and obtain texture results for multi-temporal remote sensing images.At the pixel scale,the registration of remote sensing images is achieved by detecting pixel lev-el changes in the image through relative radiometric correction.Based on the registration results,the grid constraint method is used to lay out control points.According to the case analysis results,it can be seen that the residential layout effect of the algo-rithm is consistent with the ideal layout effect,and the IPA index is in the range of 0-10,indicating that the algorithm used in the study is very satisfied with the layout of residential areas.
rural living environmentaging-friendlyResidential layoutmulti-temporal remote sensing optimization
NETL
NSTL
万方数据
