Landscape evaluation by using no-code machine-learning software
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- Hagihara Kazu
- University of Shiga Prefecture
Bibliographic Information
- Other Title
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- ノーコード機械学習ソフトを用いた景観評価手法の検討
- Case study of a suburban rural village in Hikone City, Shiga Prefecture, Japan
- 滋賀県彦根市の都市近郊農村を事例として
Abstract
<p>I examined the construction of a simple landscape evaluation method that uses existing no-code machine-learning software. Specifically, I targeted rural areas near urban areas, extracted image data from footage captured with an action camera (GoPro), and then attempted image classification and object detection by using no-code machine-learning software. I was able to distinguish, with sufficient accuracy, the differences between traditional private houses in existing villages and houses created from subdivisions. If conditions such as the angle of the image differed, erroneous judgments could occur. However, by point visualization using object detection, I was able to infer which landscape elements influenced such misjudgments. In the conclusion to my report, I summarize the points of view that are essential to solving a series of issues, and I provide future prospects.</p>
Journal
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- Reports of the City Planning Institute of Japan
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Reports of the City Planning Institute of Japan 22 (3), 487-493, 2023-12-11
The City Planning Institute of Japan
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Details 詳細情報について
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- CRID
- 1390016958307519616
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- ISSN
- 24364460
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Allowed