運用影像頻率域特徵建構景觀偏好預測模型之研究

Using Image Features from the Frequency Domain to Construct a Prediction Model of Landscape Preference

何立智(Li-Chih Ho) ； 陳建中(Chien-Chung Chen) ； 張俊彥(Chun-Yen Chang)

《戶外遊憩研究》 33卷3期 (2020/09) Pp. 1-26

https://doi.org/10.6130/JORS.202009_33(3).0001

摘要

本研究引入空間包絡理論以頻率域視覺訊號的統計特徵來建構景觀偏好預測模型，嘗試為景觀研究領域引入新的探討觀點與工具。本研究收集了八種景觀類別的影像共480張（公路、高樓、街道、市區、海岸、森林、鄉村、高山），對頻率域訊號進行抽取，並以主成分分析提取出三個主要的空間包絡特徵，分別命名為空間質感、空間方向與空間深度，以此三個特徵構成預測景觀偏好的計算模型。結果顯示空間質感可以預測市區類型的景觀偏好，而空間方向與空間深度可以預測公路與森林兩種類型的景觀偏好，其餘類別的預測結果未達顯著效果。雖然本研究之模型預測能力尚有改善空間，然而空間包絡理論確實在景觀偏好研究提供了一個新的理論與方向。

關鍵字

視覺訊號 ； 景觀偏好 ； 頻率域 ； 空間包絡特徵

並列摘要

This research establishes a prediction model of landscape preference using spatial envelope theory and provides a new perspective and novel tool for landscape research. The 480 images used in this research comprised eight types of scenes, including highways, tall buildings, streets, inner cities, coasts, forests, the countryside, and mountains. Principal component analysis extracted three important features-spatial texture, spatial direction, and spatial depth-from the frequency domain of these images, which were used to construct the prediction model of the landscape preference. The results show that the spatial texture could predict the preference for inner-cities, while spatial direction and spatial depth could predict the preference for roads and forests. Although future research could improve the prediction ability of this model, special envelope theory provides a new direction for landscape research.

並列關鍵字

Visual signal ； Landscape preference ； Frequency Domain ； Spatial envelope property

參考文獻

何立智、張俊彥、陳建中(2012)。景觀特徵演算法於知覺自然度量測之運用。造園景觀學報，18(1)，23-38。He, L. C., Chang, C. Y., & Chen, C. C. (2012). Quantification of perceived naturalness using scene gist algorithm. Journal of Landscape, 18(1), 23-38.

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