Journal of Geo-information Science >
Research on the Suitability of Image at Different Resolutions for the Identification of Steel Enterprise Using Remote Sensing
Received date: 2014-10-13
Request revised date: 2015-01-09
Online published: 2015-09-07
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Steel industry is one of the dominant sources of pollution. Illegally constructed steel enterprises have been emerging for a long period. It brings enormous pressure to the ecological environment. Using remote sensing technology to monitor the violate behavior, is very helpful to enhance the capability of environmental monitoring department and strengthen environment security. Taking Shijiazhuang city as a research area, this study analyzed the feasibility of steel company inspection based on remote sensing technology, and presented the minimum requirements of image geometric resolution for different assignments. For this purpose, firstly, the representative steel enterprises of different sizes were selected. The identification characteristics of these steel companies were analyzed using remote sensing techniques and were used to format the interpretation knowledge base. Secondly, the feasibilities of identifying recognition features for different sized enterprises were analyzed, with remote sensing images at different geometric resolutions. Finally, the minimum requirements of image geometric resolution for different detection assignments were suggested according to their features. The results are indicated as follows: (1) the blast furnace, gas tank, electricity dust removal facility and material storage field were the primary recognition features of steel enterprises using remote sensing. (2) To identify the illegal extensions and constructions built without permission, the minimum requirements of image geometric resolution are 2 m panchromatic image for large-size company, 1 m panchromatic image for medium-size company and 0.5 m panchromatic image for small-size company. (3) To identify the constructions built without permission in sensitive area, the minimum requirements of image geometric resolution are 2 m panchromatic image for large-size company, 2 m panchromatic image plus 5 m multispectral image for medium-size company, and 0.5 m panchromatic image plus 5 m multispectral image for small-size company. (4) To identify the constructions built without permission in non-sensitive area, the minimum requirement of image geometric resolution is 5 m multispectral image for companies of all sizes.
CHEN Pengfei , LU Li , ZHU Huazhong , ZHU Yunqiang , WANG Yan . Research on the Suitability of Image at Different Resolutions for the Identification of Steel Enterprise Using Remote Sensing[J]. Journal of Geo-information Science, 2015 , 17(9) : 1119 -1127 . DOI: 10.3724/SP.J.1047.2015.01119
Tab. 1 Representative steel enterprises表1 代表性钢铁企业 |
钢铁厂名称 | 生产能力 | 规模 |
---|---|---|
河北敬业集团有限责任公司 (简称敬业集团) | 年产钢、铁、钢材各600万t | 大型 |
辛集市澳森钢铁有限公司 (简称澳森钢铁厂) | 年产铁260万t、粗钢220万t、轧钢235万t | 中型 |
藁城市宏森熔炼铸造有限公司 (简称宏森熔铸厂) | 年产铸造生铁、球墨铸铁60余万t | 小型 |
Fig. 1 Comparison of effects before and after using image fusion图1 影像融合前后效果对比图 |
Fig. 2 A blast furnace of Aosen steel company (the true color image of WorldView-2 after image fusion)图2 澳森钢铁厂某高炉(融合后的WorldView-2真彩色合成影像) |
Fig. 3 A gas tank of Aosen steel company (the true color image of WorldView-2 after image fusion)图3 澳森钢铁厂某煤气柜(融合后的WorldView-2真彩色合成影像) |
Fig. 4 An electricity dust removal facility of Aosen steel company (the true color image of WorldView-2 after image fusion)图4 澳森钢铁厂某电除尘设施区(融合后的WorldView-2真彩色合成影像) |
Fig. 5 A material storage field of Aosen steel company(the true color image of WorldView-2 after image fusion)图5 澳森钢铁厂某贮料区(融合后的WorldView-2真彩色合成影像) |
Tab. 2 The requirements of image geometric resolutions for identifying recognition features of different sized steel companies using remote sensing in Shijiazhuang region表2 石家庄地区不同规模钢铁厂遥感特征识别的影像分辨率需求 |
解译特征 | 影像分辨率(m) | 类型 | ||
---|---|---|---|---|
大型钢铁厂 | 中型钢铁厂 | 小型钢铁厂 | ||
高炉 | 2 | 1 | 0.5 | 全色 |
煤气柜 | 2 | 2 | 全色 | |
电除尘器 | 8 | 8 | 全色 | |
贮料区 | 5 | 5 | 5 | 多光谱 |
Fig. 6 Images for blast furnaces of different sized steel companies at various resolutions图6 不同规模钢铁厂高炉在不同分辨率影像的特征 |
Fig. 7 Images for gas tanks of different sized steel companies at various resolutions图7 不同规模钢铁厂煤气柜在不同分辨率影像的特征 |
Fig. 8 Images for electricity dust removal facilities of different sized steel companies at various resolutions图8 不同规模钢铁厂电除尘器在不同分辨率影像上的特征 |
Fig. 9 Images for material storage fields of different sized steel companies at various resolutions图9 不同规模钢铁厂贮料区在不同分辨率影像上的特征 |
Tab. 3 The requirements on image geometric resolutions for different detection assignments using remote sensing表3 不同核查任务对遥感影像分辨率的需求 |
核查任务 | 企业规模 | 影像分辨率需求 | |
---|---|---|---|
全色影像(m) | 多光谱影像(m) | ||
批小建大核查 | 大型钢铁厂 | 2 | |
中型钢铁厂 | 1 | ||
小型钢铁厂 | 0.5 | ||
重点区域已建成未批先建项目核查 | 大型钢铁厂 | 2 | |
中型钢铁厂 | 2 | 5 | |
小型钢铁厂 | 0.5 | 5 | |
非重点区域已建成未批先建项目核查 | 大、中、小型钢铁厂 | 5 | |
正在建设未批先建行为早期发现核查 | 大型钢铁厂 | 2 | |
中型钢铁厂 | 1 | ||
小型钢铁厂 | 0.5 |
The authors have declared that no competing interests exist.
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[4] |
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[5] |
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[6] |
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[7] |
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[8] |
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[9] |
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[10] |
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[11] |
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[12] |
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[13] |
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[14] |
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[15] |
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[16] |
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[18] |
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[19] |
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[21] |
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