| 利用多特征进行航空影像建筑物提取 |
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| 引用本文： | 吕凤华,舒宁,龚颵,郭清,曲雪光.利用多特征进行航空影像建筑物提取[J].武汉大学学报(信息科学版),2017,42(5):656-660. |
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| 作者姓名： | 吕凤华 舒宁 龚颵 郭清 曲雪光 |
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| 作者单位： | 1.武汉大学遥感信息工程学院, 湖北 武汉, 430079 |
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| 基金项目： | 国家自然科学基金41101412武汉大学研究生自主科研基金201121302020001 |
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| 摘 要： | 高分辨率遥感影像在不同的尺度下表现出不同的特征，根据这一特性，提出了一种基于多层次特征的航空影像规则建筑物提取方法。该方法先利用大尺度特征——方向梯度直方图（histograms of oriented gradient，HOG）特征对建筑物进行识别，然后提出了一种小尺度特征——纹理和光谱融合特征，该特征能够有效地将HOG特征识别结果中的道路、草地等非建筑物剔除，最终获取建筑物边缘信息。实验结果表明，该方法不仅对矩形建筑物有较好的提取效果，对结构复杂的规则建筑物也有较好的提取效果。
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| 关 键 词： | 方向梯度直方图 灰度共生矩阵 波段比值曲线 |
| 收稿时间： | 2015-04-13 |
Regular Building Extraction from High Resolution Image Based on Multilevel-Features |
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| Affiliation: | 1.School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China2.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China3.Qingdao Institute of Surveying and Mapping, Qingdao 266032, China |
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| Abstract: | High-resolution remote sensing images reveal dissimilar distinguishable features at different scales. Based on this characteristic of high-resolution remote sensing images, a new method of extracting buildings based on multilevel feature in aerial images was developed by associating scales with features. In the case of a large-scale feature, histograms of oriented gradient (HOG), were used to recognize rough buildings areas. The areas maybe include the grass, roads and some other non-building information. In order to remove these non-building surface features, fused spectral and texture features (T-B) is proposed at the small scale. The T-B feature is used to process the results of the first recognized HOG results. Experimental results demonstrate that the new feature has a good effect. Edge information of buildings was obtained and the results show that our proposed algorithm can extract both rectangular and complex buildings in different area remote sensing images well. |
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