Delineation of Built-Up Areas from Very High-Resolution Satellite Imagery Using Multi-Scale Textures and Spatial Dependence
Publication in refereed journal

香港中文大學研究人員
替代計量分析
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其它資訊
摘要Very high spatial resolution (VHR) satellite images possess several advantages in terms of describing the details of ground targets. Extracting built-up areas from VHR images has received increasing attention in practical applications, such as land use planning, urbanization monitoring, geographic information database update. In this study, a novel method is proposed for built-up area detection and delineation on VHR satellite images, using multi-resolution space-frequency analysis, spatial dependence modelling and cross-scale feature fusion. First, the image is decomposed by multi-resolution wavelet transformation, and then the high-frequency information at different levels is employed to represent the multi-scale texture and structural characteristics of built-up areas. Subsequently, the local Getis-Ord statistic is introduced to model the spatial patterns of built-up area textures and structures by measuring the spatial dependence among frequency responses at different spatial positions. Finally, the saliency map of built-up areas is produced using a cross-scale feature fusion algorithm, followed by adaptive threshold segmentation to obtain the detection results. The experiments on ZY-3 and Quickbird datasets demonstrate the effectiveness and superiority of the proposed method through comparisons with existing algorithms.
出版社接受日期03.10.2018
著者Chen YX, Lv ZY, Huang B, Jia Y
期刊名稱Remote Sensing
出版年份2018
月份10
卷號10
期次10
出版社MDPI
文章號碼1596
國際標準期刊號2072-4292
語言英式英語
關鍵詞high-resolution, built-up area detection, multi-resolution wavelet, spatial dependence, cross-scale
Web of Science 學科類別Remote Sensing;Remote Sensing

上次更新時間 2020-06-08 於 23:57