A spectral and texture-based unsupervised segmentation algorithm for human settlements land-cover extraction
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It is crucial to evaluate human settlements to maintain human-based social development. To accurately extract human settlements land-cover information, this article focuses on the unsupervised image segmentation in high-resolution, remotely sensed imagery. J-based segmentation (JSEG) algorithm can offer good segmentation results, but it is highly dependent on image merging thresholds. In this article, a combined, unsupervised image segmentation algorithm is proposed, in which an initial segmentation result is first produced by JSEG and then the image texture is extracted for later region merging. The experiments on the high-resolution imagery show that, when compared with the results obtained by the original JSEG algorithm and eCognition, the proposed algorithm improves the segmentation accuracy. © 2012 Copyright Taylor and Francis Group, LLC.
著者Liu T., Lin H.
期刊名稱Annals of GIS
出版年份2012
月份12
日期1
卷號18
期次4
出版社Taylor and Francis Inc.
出版地United Kingdom
頁次299 - 305
國際標準期刊號1947-5683
電子國際標準期刊號1947-5691
語言英式英語
關鍵詞high-resolution image, image segmentation, JSEG, texture

上次更新時間 2021-13-06 於 00:30