基于基尼系数的倾斜航空影像中建筑物立面损毁检测 |
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引用本文: | 涂继辉,眭海刚,吕枘蓬,贾曲,孙开敏. 基于基尼系数的倾斜航空影像中建筑物立面损毁检测[J]. 武汉大学学报(信息科学版), 2017, 42(12): 1744-1748. DOI: 10.13203/j.whugis20150376 |
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作者姓名: | 涂继辉 眭海刚 吕枘蓬 贾曲 孙开敏 |
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作者单位: | 1.长江大学电信学院, 湖北 荆州, 434023 |
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基金项目: | 国家重大专项研发计划2016YFB0502603国家自然科学基金41471354 |
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摘 要: | 针对已分割出的建筑物立面,提出了以基尼系数作为损毁指数对倾斜航空影像中建筑物立面损毁检测的方法。该方法首先通过改进的k-means算法分割出建筑物立面的门窗和墙面,然后利用Canny算法对分割影像进行边缘检测提取统计特征,最后利用经济学中的基尼系数来判断建筑物立面是否损毁。实验结果表明,本文方法在没有先验信息的情况下仅利用单时相倾斜航空影像就能简单高效地判定建筑物立面损毁。
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关 键 词: | 倾斜航空影像 建筑物立面损毁 基尼系数 损毁指数 |
收稿时间: | 2015-10-08 |
Building Facade Damage Detection Based on the Gini Index from Oblique Aerial Images |
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Affiliation: | 1.School of Electronics & Information, Yangtze University, Jingzhou 434023, China2.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China |
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Abstract: | This paper proposes a building facade damage detection method using Gini index of economics from the building facade of oblique aerial images. This method firstly segments the windows and doors from the building wall using the improved k-means algorithm, then detects the edge using canny algorithm, at last judges whether the building facade is damaged using Gini index. Experimental results show that the proposed method can be used to detect the building facade damage simply and efficiently only using the single post-seismic oblique aerial images without any prior information. |
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