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Open AccessArticle

Multiscale Geoscene Segmentation for Extracting Urban Functional Zones from VHR Satellite Images

1
Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China
2
Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China
3
State Key Laboratory of Urban and Regional Ecology, Research center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(2), 281; https://doi.org/10.3390/rs10020281
Received: 28 December 2017 / Revised: 30 January 2018 / Accepted: 8 February 2018 / Published: 12 February 2018
Urban functional zones, such as commercial, residential, and industrial zones, are basic units of urban planning, and play an important role in monitoring urbanization. However, historical functional-zone maps are rarely available for cities in developing countries, as traditional urban investigations focus on geographic objects rather than functional zones. Recent studies have sought to extract functional zones automatically from very-high-resolution (VHR) satellite images, and they mainly concentrate on classification techniques, but ignore zone segmentation which delineates functional-zone boundaries and is fundamental to functional-zone analysis. To resolve the issue, this study presents a novel segmentation method, geoscene segmentation, which can identify functional zones at multiple scales by aggregating diverse urban objects considering their features and spatial patterns. In experiments, we applied this method to three Chinese cities—Beijing, Putian, and Zhuhai—and generated detailed functional-zone maps with diverse functional categories. These experimental results indicate our method effectively delineates urban functional zones with VHR imagery; different categories of functional zones extracted by using different scale parameters; and spatial patterns that are more important than the features of individual objects in extracting functional zones. Accordingly, the presented multiscale geoscene segmentation method is important for urban-functional-zone analysis, and can provide valuable data for city planners. View Full-Text
Keywords: urban landscape; functional zone; object-based image analysis; multiscale image segmentation; VHR images urban landscape; functional zone; object-based image analysis; multiscale image segmentation; VHR images
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MDPI and ACS Style

Zhang, X.; Du, S.; Wang, Q.; Zhou, W. Multiscale Geoscene Segmentation for Extracting Urban Functional Zones from VHR Satellite Images. Remote Sens. 2018, 10, 281.

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