Remote sensing recognition of roof area of flat-roofed houses based on Gram Schmit algorithm

Yulan Shen; Meng Chen; Sijia Yin; Pengfei Xu; Hongfei Chu; Chaoyang Chen

doi:10.1117/12.3055782

9 January 2025 Remote sensing recognition of roof area of flat-roofed houses based on Gram Schmit algorithm

Yulan Shen, Meng Chen, Sijia Yin, Pengfei Xu, Hongfei Chu, Chaoyang Chen

Author Affiliations +

Proceedings Volume 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024); 1348630 (2025) https://doi.org/10.1117/12.3055782
Event: Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 2024, Chengdu, China

Abstract

Aiming at the problem that existing remote sensing recognition methods for the roof area of flat roofed houses are difficult to obtain accurate boundaries of the roof, a remote sensing recognition method for the roof area of flat roofed houses based on Gram Schmit algorithm is proposed. Perform geometric correction on the collected remote sensing images of the roofs of flat roofed houses using polynomial modeling methods; By using DeepLab semantic segmentation technology to extract the boundary feature parameters of the roof of a flat roofed house, and applying the Gram Schmit algorithm to further identify and outline the contour of the roof of the flat roofed house, the roof area can be calculated. The experimental results show that this method can effectively improve the accuracy and efficiency of identifying the roof area of flat roofed houses.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yulan Shen, Meng Chen, Sijia Yin, Pengfei Xu, Hongfei Chu, and Chaoyang Chen "Remote sensing recognition of roof area of flat-roofed houses based on Gram Schmit algorithm", Proc. SPIE 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 1348630 (9 January 2025); https://doi.org/10.1117/12.3055782

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
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Remote sensing

Detection and tracking algorithms

Image processing

Image segmentation

Scene classification

Deformation

Feature extraction

Show All Keywords

Keywords/Phrases

Search In:

Publication Years