Mapping urban land cover types using object-based multiple endmember spectral mixture analysis
نویسندگان
چکیده
Mapping urban land cover types using object-based multiple endmember spectral mixture analysis Caiyun Zhang, Hannah Cooper, Donna Selch, Xuelian Meng, Fang Qiu, Soe W. Myint, Charles Roberts & Zhixiao Xie a Department of Geosciences, Florida Atlantic University, Boca Raton, FL, USA b Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, USA c Geographic Information Sciences, University of Texas at Dallas, Richardson, TX, USA d School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA Published online: 16 Jun 2014.
منابع مشابه
Incorporating Endmember Variability into Linear Unmixing of Coarse Resolution Imagery: Mapping Large-Scale Impervious Surface Abundance Using a Hierarchically Object-Based Spectral Mixture Analysis
As an important indicator of anthropogenic impacts on the Earth’s surface, it is of great necessity to accurately map large-scale urbanized areas for various science and policy applications. Although spectral mixture analysis (SMA) can provide spatial distribution and quantitative fractions for better representations of urban areas, this technique is rarely explored with 1-km resolution imagery...
متن کاملModified multiple endmember spectral mixture analysis for mapping impervious surfaces in urban environments
A modified multiple endmember spectral mixture analysis (MMESMA) approach is proposed for high-spatial-resolution hyperspectral imagery in the application of impervious surface mapping. Different from the original MESMA that usually selects one endmember spectral signature for each land-cover class, the proposed MMESMA allows the selection of multiple endmember signatures for each land-cover cl...
متن کاملMonitoring Urban Greenness Dynamics Using Multiple Endmember Spectral Mixture Analysis
Urban greenness is increasingly recognized as an essential constituent of the urban environment and can provide a range of services and enhance residents' quality of life. Understanding the pattern of urban greenness and exploring its spatiotemporal dynamics would contribute valuable information for urban planning. In this paper, we investigated the pattern of urban greenness in Hangzhou, China...
متن کاملDevelopment of a Class-Based Multiple Endmember Spectral Mixture Analysis (C-MESMA) Approach for Analyzing Urban Environments
Multiple endmember spectral mixture analysis (MESMA) has been widely applied for estimating fractional land covers from remote sensing imagery. MESMA has proven effective in addressing inter-class and intra-class endmember variability by allowing pixel-specific endmember combinations. This method, however, assumes that each land cover type has an equal probability of being included in the model...
متن کاملA Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover
Spectral unmixing of urban land cover relies on representative endmember libraries. For repeated mapping of multiple cities, the use of a generic spectral library, capturing the vast spectral variability of urban areas, would constitute a more operational alternative to the tedious development of image-specific libraries prior to mapping. The size and heterogeneity of such a generic library req...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014