Object-Based Classification of Ikonos Imagery for Mapping Large-Scale Vegetation Communities in Urban Areas
نویسندگان
چکیده
منابع مشابه
Object-Based Classification of Ikonos Imagery for Mapping Large-Scale Vegetation Communities in Urban Areas
Effective assessment of biodiversity in cities requires detailed vegetation maps.To date, most remote sensing of urban vegetation has focused on thematically coarse landcover products. Detailed habitat maps are created by manual interpretation of aerialphotographs, but this is time consuming and costly at large scale. To address this issue, wetested the effectiveness of object-based classificat...
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The management of vegetated areas by urban planners relies on detailed and updated knowledge of their nature and distribution. Manual photo-interpretation of aerial photographs is efficient, but is time consuming. Image segmentation and object-oriented classifications provide a tool to automatically delineate and label vegetation units. Object-oriented techniques were tested with a very high-re...
متن کاملObject-oriented method for urban vegetation mapping using IKONOS imagery
Object-oriented method for urban vegetation mapping using IKONOS imagery Xiuying Zhang ab; Xuezhi Feng b; Hong Jiang ac a International Institute for Earth System Science, Nanjing University, Nanjing, China b School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China c International Centre of Spatial Ecology and Ecosystem Ecology, Zhejiang Forestry University, Hangzhou,...
متن کاملObject-based spatial classification of forest vegetation with IKONOS imagery
Object-based image analysis (OBIA) is employed to classify forest types, including deciduous, evergreen and mixed forests, in a U.S. National Park unit using very high spatial resolution (VHR) IKONOS satellite imagery. This research investigates the effect of scale on segmentation quality and object-based forest type classification. Average local variance and spatial autocorrelation analyses ar...
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IKONOS 1-m panchromatic and 4-m multispectral images were used to map mangroves in a study site located at Punta Galeta on the Caribbean coast of Panama. We hypothesized that spectral separability among mangrove species would be enhanced by taking the object as the basic spatial unit as opposed to the pixel. Three different classification methods were investigated: maximum likelihood classifica...
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ژورنال
عنوان ژورنال: Sensors
سال: 2007
ISSN: 1424-8220
DOI: 10.3390/s7112860