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首页> 外文会议>SPIE Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology >Urban landcover mapping using different Spectral Mixture Analysismethods
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Urban landcover mapping using different Spectral Mixture Analysismethods

机译：使用不同光谱混合分析方法的城市陆地覆盖映射

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摘要

The complex spatial and spectral variability of urban structures present fundamental challenges to deriving accurateremote sensing information for urban areas. Spectral mixture analysis (SMA), based on a physical mixture model, hasability to extract sub-pixel information such as the abundances of each endmember presented in the pixel (image unity).In this paper, different spectral mixture methods have been applied in order to examine the performance of each model indealing with spectral variability of urban surface. The comparison is focused on linear spectral mixture analysis (LSMA)which is using a fixed number of endmembers for the entire scene and multiple endmember spectral mixture analysis(MESMA) which allows the number and types of endmembers to vary from pixel to pixel to extract the abundances ofurban surface components. These techniques have been applied to map the physical components of urban land cover forthe city of Bucharest, Romania, using Landsat Thematic Mapper (TM), Enhanced Thematic Mapper (ETM+) andIKONOS imagery for 1989 – 2007 period. This paper demonstrates the potential of moderate-and high resolution,multispectral imagery to map and monitor the evolution of the physical urban environment.
机译：城市结构的复杂的空间和光谱的变化呈现给推导市区accurateremote传感信息根本性的挑战。频谱分析混合物（SMA），基于物理混合模型，hasability到提取物的子像素的信息，例如在像素（图像统一）。在本文所提出的每个端元的丰度，不同的光谱混合物的方法已被按顺序应用检查每个模型与城市表面的光谱变异indealing的性能。比较集中于线性光谱混合分析其使用端元到整个场景和多个端元光谱混合分析（MESMA），其允许的数量和类型端元的从像素改变到像素提取的固定数量（LSMA）呼和浩特市城市丰度表面元件。这些技术已应用到布加勒斯特，罗马尼亚的城市土地覆盖：l，城市的物理组件映射，利用陆地卫星专题制图仪（TM），增强型专题制图仪（ETM +）andIKONOS图像为1989年至2007年期间。本文阐述了中等和高分辨率，多光谱图像映射和监视物理城市环境演变的潜力。

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