Remote sensing identification method for construction progress of urban buildings

Abstract

The invention discloses a remote sensing identification method for the construction progress of urban buildings. The method comprises the steps of acquiring and preprocessing a high-resolution remotesensing image; dividing the image into four stages of images including a foundation stage, a middle building stage, a capping stage and a building stage, and extracting image features according to different building stages; creating a sample set and establishing a sample database; designing a network model and parameters; classifying and identifying the images in different construction stages; andextracting a building construction position and a boundary contour. The invention also provides a remote sensing identification system for the construction progress of urban buildings by cloud computing. The system comprises a spatial database; a data processing module; a GIS cloud service platform; a GIS convolutional network cloud computing module; a statistical analysis cloud computing module; and a building construction stage type diagram output module. The accuracy and efficiency of building identification in different construction stages can be improved, and the building construction progress identification requirement in the urban remote sensing big data age is met.

Description

technical field [0001] The invention relates to the technical field of remote sensing identification of buildings at different construction stages, in particular to a method and system for remote sensing identification of construction progress of urban buildings based on a deep convolutional neural network (DCNN) and cloud computing. Background technique [0002] With the acceleration of urbanization in our country, the rapid development of urban expansion and urbanization, the number of urban construction buildings is increasing, including many social security housing and illegally constructed buildings. Urban management departments urgently need to grasp the spatial location and area information of different buildings in the city (foundation, construction, back cover, and completion) in a timely manner. In order to understand and obtain the construction progress and construction status of buildings in a timely manner, the remote sensing dynamic monitoring of the constructi...

AI Technical Summary

Problems solved by technology

[0003] At present, the accuracy and efficiency of remote sensing extraction of buildings and their construction progress information based on building morphology index and multi-temporal change detection technology cannot meet the needs of rapid urban development and illegal building monitoring and affordable housing management.

Images