In map multiscale visualization,typification is the process of replacing original objects,such as buildings,using a smaller number of objects while maintaining initial geometrical and distribution characteristics.Duri...In map multiscale visualization,typification is the process of replacing original objects,such as buildings,using a smaller number of objects while maintaining initial geometrical and distribution characteristics.During the past few decades,many vector-based methods for building typification have been developed,whereas raster-based methods have received less attention.In this paper,a new method for the typification of buildings with different distribution patterns called superpixel building typification(SUBT)is developed based on raster data.Using this method,buildings with different distribution patterns,such as linear,grid and irregular patterns,are first grouped by image connected component detection and superpixel analysis.Then,the new positions for building typification are determined by superpixel resegmentation.Finally,a new representation of the buildings is determined through analysis of the orientation and shape of the buildings in each superpixel.To test the proposed SUBT method,buildings from both cities and countrysides in China are applied to perform typification.The experimental results show that the proposed SUBT method can realize typification for buildings with linear,grid and irregular distributions while effectively maintaining the original distribution characteristics of the buildings.展开更多
Settlement maps derived by Earth Observation data represent a critical dataset for building stock quantification.The accuracy of the settlement maps varies across the different spatial scales and across the space acco...Settlement maps derived by Earth Observation data represent a critical dataset for building stock quantification.The accuracy of the settlement maps varies across the different spatial scales and across the space according to specific spatial patterns.The aim of this paper is to assess the accuracy of the settlement map at different scales,and to analyze the relationships between spatial allocation of error and built-up distribution patterns.The paper identifies two general trends.First that the building stock overestimation error increases with increasing values of spatial scattering.Second that at coarser scales the relation between building area overestimation and spatial scattering became stronger.The results have important implications when settlement maps are used to estimate the building stock.展开更多
基金supported by National Natural Science Foundation of China:[Grant Number 42001402]China Post-doctoral Science Foundation:[Grant Number 2021T140521 and 2021M692464]+2 种基金National Key Research and Devel-opment Program of China:[Grant Number 2017YFB0503601]National Natural Science Foundation of China:[Grant Number 41671448]Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources,China Scholarship Council:[Grant Number 202006275019].
文摘In map multiscale visualization,typification is the process of replacing original objects,such as buildings,using a smaller number of objects while maintaining initial geometrical and distribution characteristics.During the past few decades,many vector-based methods for building typification have been developed,whereas raster-based methods have received less attention.In this paper,a new method for the typification of buildings with different distribution patterns called superpixel building typification(SUBT)is developed based on raster data.Using this method,buildings with different distribution patterns,such as linear,grid and irregular patterns,are first grouped by image connected component detection and superpixel analysis.Then,the new positions for building typification are determined by superpixel resegmentation.Finally,a new representation of the buildings is determined through analysis of the orientation and shape of the buildings in each superpixel.To test the proposed SUBT method,buildings from both cities and countrysides in China are applied to perform typification.The experimental results show that the proposed SUBT method can realize typification for buildings with linear,grid and irregular distributions while effectively maintaining the original distribution characteristics of the buildings.
文摘Settlement maps derived by Earth Observation data represent a critical dataset for building stock quantification.The accuracy of the settlement maps varies across the different spatial scales and across the space according to specific spatial patterns.The aim of this paper is to assess the accuracy of the settlement map at different scales,and to analyze the relationships between spatial allocation of error and built-up distribution patterns.The paper identifies two general trends.First that the building stock overestimation error increases with increasing values of spatial scattering.Second that at coarser scales the relation between building area overestimation and spatial scattering became stronger.The results have important implications when settlement maps are used to estimate the building stock.
