基于MMBI的高分辨率影像建筑物提取研究
发布时间：2018-12-26 12:08
【摘要】：利用高空间分辨率遥感影像准确提取建筑物信息是在更精细尺度上分析、管理人类活动的重要途径,但建筑物形态的多样性、复杂性使得建筑物提取方法在精度、效率等方面依然面临挑战。基于高分辨率影像中建筑物所呈现的多种形状及结构特点,通过发展形态学建筑物指数并结合具有良好保边去噪性能的引导滤波,提出了基于多结构元素形态学建筑物指数(MMBI)的建筑物提取方法。将之应用于具有不同特征的GeoEye-1影像建筑物提取实验,并与MBI方法进行比较,发现该方法准确率达到88.2%以上,比MBI的准确率提高了约5%,且漏检率下降近6%。结果表明:MMBI方法能够快速、准确地提取出高分辨率影像中的建筑物区域,在建筑物的自动化提取方面具有较好的应用前景。
[Abstract]:The accurate extraction of building information from high spatial resolution remote sensing images is an important way to analyze and manage human activities on a more precise scale. However, the diversity and complexity of building forms make the method of building extraction more accurate. Efficiency and other aspects still face challenges. Based on the features of various shapes and structures of buildings in high-resolution images, the morphological building index is developed and guided filtering with good edge preserving and denoising performance is combined. A method of building extraction based on morphological building index (MMBI) of multiple structural elements is proposed. The method is applied to the building extraction experiment of GeoEye-1 images with different characteristics and compared with the MBI method. It is found that the accuracy of this method is more than 88.2%, which is about 5% higher than that of MBI, and the rate of missing detection is reduced by nearly 6%. The results show that the MMBI method can quickly and accurately extract the building area in the high-resolution image, and has a good application prospect in the automatic extraction of buildings.
【作者单位】： 中山大学地理科学与规划学院广东省城市化与地理环境空间模拟重点实验室综合地理信息研究中心;
【基金】：国家自然科学基金面上项目“基于遥感与智能优化方法的承灾体信息提取及分布模拟研究”(41371499)
【分类号】：TP751
，
本文编号：2392110
[Abstract]:The accurate extraction of building information from high spatial resolution remote sensing images is an important way to analyze and manage human activities on a more precise scale. However, the diversity and complexity of building forms make the method of building extraction more accurate. Efficiency and other aspects still face challenges. Based on the features of various shapes and structures of buildings in high-resolution images, the morphological building index is developed and guided filtering with good edge preserving and denoising performance is combined. A method of building extraction based on morphological building index (MMBI) of multiple structural elements is proposed. The method is applied to the building extraction experiment of GeoEye-1 images with different characteristics and compared with the MBI method. It is found that the accuracy of this method is more than 88.2%, which is about 5% higher than that of MBI, and the rate of missing detection is reduced by nearly 6%. The results show that the MMBI method can quickly and accurately extract the building area in the high-resolution image, and has a good application prospect in the automatic extraction of buildings.
【作者单位】： 中山大学地理科学与规划学院广东省城市化与地理环境空间模拟重点实验室综合地理信息研究中心;
【基金】：国家自然科学基金面上项目“基于遥感与智能优化方法的承灾体信息提取及分布模拟研究”(41371499)
【分类号】：TP751
，
本文编号：2392110
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