Research on spatiotemporal characteristics and trends of urban housing sites based on remote sensing analysis technology

• Published in: Physics and chemistry of the earth. Parts A/B/C Vol. 130; p. 103374
• Main Author: Zeng, Lingquan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2023
• Subjects: Remote sensing analysis; Spatiotemporal characteristics; Trend; Urban homestead; Trend; Urban homestead; Remote sensing analysis; Spatiotemporal characteristics
• ISSN: 1474-7065; 1873-5193
• DOI: 10.1016/j.pce.2023.103374

In order to improve the analysis effect of the spatiotemporal characteristics of urban homesteads, this paper combines remote sensing analysis technology to study and analyze the spatiotemporal characteristics and trends of urban homesteads, segment the spatiotemporal characteristics of urban homesteads, and use the watershed transformation based on multi-scale morphological reconstruction to generate superpixels. The watershed transformation based on multi-scale morphological gradient reconstruction can obtain superpixel segmentation with good local information with less time consumption and a smaller number of superpixels. The research shows that the spatiotemporal feature analysis model of urban homestead based on remote sensing analysis technology proposed in this paper can effectively improve the analysis effect of urban homestead spatiotemporal feature, and can predict the spatiotemporal feature trend of urban homestead on this basis. •Improve the analysis effect of the spatiotemporal characteristics of urban homesteads.•The watershed transformation based on multi-scale morphological gradient.•The research shows that the spatiotemporal feature analysis model of urban homestead.•Predict the spatiotemporal feature trend of urban homestead on this basis.