Building extraction from high resolution remote sensing images based on improved U2-Net

Zhiling Huo; Feifei Xie; Yuchao Gu

doi:10.1117/12.2668116

23 February 2023 Building extraction from high resolution remote sensing images based on improved U²-Net

Zhiling Huo, Feifei Xie, Yuchao Gu

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125512P (2023) https://doi.org/10.1117/12.2668116
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

Buildings are one of the most important infrastructures in cities. Automatic extraction of buildings from high-resolution remote sensing imagery is of great significance for urban management and population estimation. Aiming at the problem of insufficient edge features and loss of details in the building extraction results, a network model combined with Canny edge detection and convolutional block attention module based on U²-Net was proposed in this paper. Adding the building edge feature map to the U²-Net to compensate for the problems of insufficient extracted building edge features and loss of detail. Using the convolutional block attention module to achieve effective feature extraction of buildings. Qualitative and quantitative analyses were performed on the WHU building datasets. The experimental results showed that improved U²-Net can accurately extract building regions from remote sensing images. And for the problem that deep learning network relies on training samples in the process of building extraction, this paper discusses the influence of the number of samples on the results. The experimental results showed that a reasonable setting of the number of building samples can improve the extraction accuracy of buildings, not that the greater the number of samples, the higher the accuracy.

Citation Download Citation

Zhiling Huo, Feifei Xie, and Yuchao Gu "Building extraction from high resolution remote sensing images based on improved U²-Net", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125512P (23 February 2023); https://doi.org/10.1117/12.2668116

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Feature extraction

Image segmentation

Remote sensing

Deep learning

Edge detection

Data fusion

Image resolution

Show All Keywords

Keywords/Phrases

Search In:

Publication Years