The use of census data in urban image classification
The use of census data in urban image classification
复制标题
DOI：
--
复制
发表时间：
1998
影响因子：
1.3
通讯作者：
V. Mesev
中科院分区：
文献类型：
--
作者：
V. Mesev
一个监督分类战略，其中包含一套技术，使城市土地覆盖从遥感数据与城市功能特征从人口普查数据的联系概述和演示。为了加强联系，还使用地理信息系统将普查区数据插入更细分和更精确的光栅表面。然后，表格和表面格式的普查数据被用于通过分层类先验概率来修改最大似然分类，并在协助选择训练样本和上下文分类后排序方面。该策略适用于在英国的四个定居点的住房密度的分类。结果表明，特定地点的准确性高，并改善类面积估计。
A supervised classification strategy containing a suite of techniques that allow the linking of urban land cover from remotely sensed data with urban functional characteristics from population census data is outlined and demonstrated. For a stronger link, census tract data are also interpolated into more disaggregated and more precise raster-based surfaces using GIS. Census data in tabular and surface format are then used to modify maxim um -likelihood classifications through stratified class a priori probabilities, and in terms of assisting the selection of training samples and contextual post-classification sorting. The strategy is applied to the classification of housing density of four settlements in the United Kingdom. The results show high site-specific accuracy, and improvements in class area estimates.