Title: An extraction method of environmental behaviour characteristics in landscape design

Authors: Shujing Wang; Haibin Tang

Addresses: School of Art and Design, Jilin University of Architecture and Technology, Changchun 130114, China ' Nissho Gakuen Chang Chun High School, Changchun 130031, China

Abstract: Aiming at the problems of low extraction accuracy and long extraction time in the traditional landscape environmental behaviour feature extraction method, this paper puts forward the environmental behaviour feature extraction method in landscape design. Firstly, the environmental behaviour factors are analysed according to the sense of comfort, security, communication, recognition and achievement, and the environmental behaviour data are obtained. Then, radiometric calibration, atmospheric correction, geometric correction and greyscale processing are carried out for the obtained behaviour data. Then, the scale difference is used to calculate the grey features and detail features of the preprocessed environmental behaviour image, and the grey features and detail features are weighted and fused to extract the environmental behaviour features of landscape architecture. Finally, the simulation results show that the accuracy of the proposed method for landscape environmental behaviour feature extraction is up to 100%, with high extraction accuracy and short extraction time.

Keywords: landscape architecture; landscape design; environmental behaviour; feature extraction; remote sensing image technology; greyscale processing.

DOI: 10.1504/IJETM.2023.127341

International Journal of Environmental Technology and Management, 2023 Vol.26 No.1/2, pp.66 - 80

Received: 21 Oct 2021
Accepted: 14 Feb 2022
Published online: 30 Nov 2022 *