Interpreting regional characteristics of Tibetan-Qiang houses in Northwestern Sichuan by Deep Learning and Image Landscape

Xiaoyi Zu, Chen Gao and Yi Wang

EconStor Open Access Articles and Book Chapters, 2024, vol. 129, No 103865

Abstract: This paper presents a framework for interpreting regional features of houses in the Tibetan-Qiang region by Deep Learning (DL) and Image Landscape (IL), which learns the typical features from online building photos in different subordinate areas of the whole region through a set of datasets and DL models. The contribution of this framework is taking online building images as a proxy of rural building characteristics, which significantly improves the scope and efficiency of related built heritage studies and accurately reveals the representative features of houses in remote rural areas. The results are validated by established studies, and the framework can be transferred to other regions through the provided path and openly published datasets.

Keywords: Northwest Sichuan; Regional characteristic; House; Image Landscape; Deep Learning (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:328337

DOI: 10.1016/j.jag.2024.103865

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