论文摘要
This paper proposes an algorithm to segment individual building rooftops from optical photographs based on superpixels. A novel method based on image complexity is proposed to calculate the number of superpixels and refine their boundaries. In order to differentiate buildings from ground and roads, the salient feature vectors are built by using features extracted from refined superpixels. In particular, those feature vectors are used to classify refined superpixels as object or non-object. Our segmentation algorithm is compared with two other state-of-the-art segmentation algorithms in terms of the recall and precision. Experiments show that the proposed method can segment building rooftops appropriately, yielding higher precision and better recall rates.
论文目录
文章来源
类型: 国际会议
作者: Cheng ZHANG,Ji-chao JIAO,Zhong-liang DENG,Yan-song CUI
来源: 2019 International Conference on Information Technology, Electrical and Electronic Engineering (ITEEE 2019) 2019-01-20
年度: 2019
分类: 基础科学,工程科技Ⅱ辑,信息科技
专业: 物理学,建筑科学与工程,计算机软件及计算机应用
单位: Beijing University of Posts and Telecommunications,School of Electronic Engineering
分类号: TU198;TP391.41;O439
DOI: 10.26914/c.cnkihy.2019.078455
页码: 204-209
总页数: 6
文件大小: 1466k