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Extraction and Analysis of Blue Steel Roofs Information Based on CNN Using Gaofen-2 Imageries

1
College of Geographical Science, Harbin Normal University, Harbin 150025, China
2
Key Laboratory of Remote Sensing and GIS Application in Guangdong Province, Public Laboratory of Geospatial Information Technology and Application in Guangdong Province, Guangzhou Institute of Geography, Guangzhou 510070, China
3
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(16), 4655; https://doi.org/10.3390/s20164655
Received: 29 July 2020 / Revised: 11 August 2020 / Accepted: 16 August 2020 / Published: 18 August 2020
(This article belongs to the Special Issue Recent Advances in Multi- and Hyperspectral Image Analysis)
Blue steel roof is advantageous for its low cost, durability, and ease of installation. It is generally used by industrial areas. The accurate and rapid mapping of blue steel roof is important for the preliminary assessment of inefficient industrial areas and is one of the key elements for quantifying environmental issues like urban heat islands. Here, the DeeplabV3+ semantic segmentation neural network based on GaoFen-2 images was used to analyze the quantity and spatial distribution of blue steel roofs in the Nanhai district, Foshan (including the towns of Shishan, Guicheng, Dali, and Lishui), which is the important manufacturing industry base of China. We found that: (1) the DeeplabV3+ performs well with an overall accuracy of 92%, higher than the maximum likelihood classification; (2) the distribution of blue steel roofs was not even across the whole study area, but they were evenly distributed within the town scale; and (3) strong positive correlation was observed between blue steel roofs area and industrial gross output. These results not only can be used to detect the inefficient industrial areas for regional planning but also provide fundamental data for studies of urban environmental issues. View Full-Text
Keywords: CNN; blue steel roofs; GaoFen-2; DeeplabV3+ CNN; blue steel roofs; GaoFen-2; DeeplabV3+
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MDPI and ACS Style

Sun, M.; Deng, Y.; Li, M.; Jiang, H.; Huang, H.; Liao, W.; Liu, Y.; Yang, J.; Li, Y. Extraction and Analysis of Blue Steel Roofs Information Based on CNN Using Gaofen-2 Imageries. Sensors 2020, 20, 4655.

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