A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Specific Structure Building Extraction from High Resolution Satellite Image
Building extraction is a key research area under the remote sensing community. These analyses are done using aerial and satellite images. Many algorithms have been designed for building extraction and deals with various situation of images like their resolution, different environmental conditions etc… This work focuses not only on building extraction but it also extracts the specific building shapes which can be useful for different societal purposes. In this work, Unet based deep learning model has been used for the predicting the building masks and then few post processing steps applied for extracting specific shape building structures. The work uses WHU building dataset which contains 204 images with varying resolution from 0.3m to 2.5m of 512x512 dimensions. The result shows the specific shape of each extracted building.
Specific Structure Building Extraction from High Resolution Satellite Image
Building extraction is a key research area under the remote sensing community. These analyses are done using aerial and satellite images. Many algorithms have been designed for building extraction and deals with various situation of images like their resolution, different environmental conditions etc… This work focuses not only on building extraction but it also extracts the specific building shapes which can be useful for different societal purposes. In this work, Unet based deep learning model has been used for the predicting the building masks and then few post processing steps applied for extracting specific shape building structures. The work uses WHU building dataset which contains 204 images with varying resolution from 0.3m to 2.5m of 512x512 dimensions. The result shows the specific shape of each extracted building.
Specific Structure Building Extraction from High Resolution Satellite Image
Saini, Akshat (author) / Dixit, Mayank (author) / Prajapati, Anuj (author) / Kushwaha, Indrapal (author)
2021-12-17
3639795 byte
Conference paper
Electronic Resource
English
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