Article: Style era switching and spatial-temporal evolution simulation of revolutionary cultural relics by integrating semantic segmentation and GIS spatial analysis Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.66 pp.39 - 56 Abstract: This study explores the stylistic switching and spatial-temporal evolution of revolutionary cultural relics using semantic segmentation and GIS spatial analysis. A dataset of relics from the 1920s-1990s was constructed, including architecture (60%), sculpture (25%), and historical sites (15%). The proposed method achieved 85% accuracy in temporal shift tasks, with spatial evolution simulation errors below 5% and overall performance at 92.1%. Key innovations include: 1) applying semantic segmentation to recognize period switching; 2) using GIS to simulate spatial-temporal dynamics; 3) establishing a multi-source evaluation framework for relic features. These findings support scientific conservation and interdisciplinary research on revolutionary heritage. Inderscience Publishers - linking academia, business and industry through research

Title: Style era switching and spatial-temporal evolution simulation of revolutionary cultural relics by integrating semantic segmentation and GIS spatial analysis

Authors: Tiantian Ren; Chao Jiang; Chenhan Huang

Addresses: School of Arts, Anhui University of Finance and Economics, Bengbu, 233030, China ' School of Arts, Anhui University of Finance and Economics, Bengbu, 233030, China ' School of Arts, Anhui University of Finance and Economics, Bengbu, 233030, China

Abstract: This study explores the stylistic switching and spatial-temporal evolution of revolutionary cultural relics using semantic segmentation and GIS spatial analysis. A dataset of relics from the 1920s-1990s was constructed, including architecture (60%), sculpture (25%), and historical sites (15%). The proposed method achieved 85% accuracy in temporal shift tasks, with spatial evolution simulation errors below 5% and overall performance at 92.1%. Key innovations include: 1) applying semantic segmentation to recognize period switching; 2) using GIS to simulate spatial-temporal dynamics; 3) establishing a multi-source evaluation framework for relic features. These findings support scientific conservation and interdisciplinary research on revolutionary heritage.

Keywords: revolutionary cultural relics; semantic segmentation; GIS spatial analysis; spatial-temporal evolution.

DOI: 10.1504/IJICT.2026.154123

International Journal of Information and Communication Technology, 2026 Vol.27 No.66, pp.39 - 56

Received: 20 Nov 2025
Accepted: 07 Jan 2026
Published online: 13 Jun 2026 *

Title: Style era switching and spatial-temporal evolution simulation of revolutionary cultural relics by integrating semantic segmentation and GIS spatial analysis

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