Abstract
Remote sensing is one of the most effective monitoring technologies for space change at home and abroad. This paper was designed to investigate the application methods of aerial and space remote sensing techniques in urban building change monitoring. It also proposed an urban spatial data updating method combining the InSAR technology and aerospace remote sensing for large-scale data updating and aerial photogrammetry technology for small-scale key data updating. Through simulation experiments of watershed-based image recognition and monitoring, observation and comparison, this paper adopted a watershed-based segmentation algorithm for GPU and its application to change recognition of urban building images.
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