Open AccessResearch on Detection Technology for the Changes of Buildings by High Resolution Remote Sensing Image
Author(s) -
Ting Wang,
Jie Zhang,
Ting Li,
Yifei Li,
Wanbin Zhu,
Tao Li,
Xi Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1972/1/012066
Subject(s) - remote sensing , change detection , photogrammetry , computer science , watershed , scale (ratio) , aerial image , key (lock) , segmentation , computer vision , artificial intelligence , geography , image (mathematics) , cartography , computer security
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.