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This paper presents a novel architecture-extraction method in urban green space based on high resolution remote sensing imagery. The method introduces the knowledge of architecture features into extraction process and makes full use of spectral and textural characteristics, thus successfully discriminates spectrally similar architectures from green space and solves the problem of inaccurate statistics...
In this paper the extraction of urban green space under the shadow from an IKONOS image was discussed and a hierarchical classification technique combining textural features and spectral characteristics was presented. Gulou campus of Nanjing University was taken as the test area. Firstly, the spectral characteristics of different features in all bands were analyzed and Difference Vegetation Index...
We present a method of a hierarchical classification technique to distinguish street trees from the neighboring grasslands and roads based on high resolution remote sensing images. Street trees information is obtained based on full use of the spectral and textural characteristics of different objects with the help of available corresponding methods on the fused image of QuickBird panchromatic and...
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