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《Science of Surveying and Mapping》 2019-01
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High-resolution images and feature transformation:building extraction in the Yan'an district

DING Hui;ZHANG Maosheng;Xi'an Center of Geological Survey;Key Laboratory for Geo-hazard in Losses Area,Ministry of Land and Resources;  
According to the problem of the fewer original spectral bands and limited spectral characteristics of high spatial resolution satellite remote sensing data,this paper proposed a method for building extraction based on feature transformation.In this study,we examined how building identification can be realized through object-oriented classification based on knowledge rules by bands selection and feature transformation to the Quickbird multispectral data of Yan'an Baota,Shaanxi province,Northwest China,and then applied data fusion by using four different algorithms.The experimental results suggested that the tasseled cap(TC)transformation effectively highlights the spectral information features of buildings;furthermore,principal component fusion can be applied to object-oriented classification with an overall accuracy of 89.3%.This method effectively identifies buildings irregularly distributed along slope toes or landslide masses,provided reference for quickly acquiring the spatial distribution information of local residents,and supported disaster emergency response assessment.
【Fund】: 国家自然科学基金项目(41502338 41530640);; 中国地质调查局地质调查项目(12120114025701)
【CateGory Index】: P237
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