太阳成8722(中国)有限公司-GREEN NO.1

标题: An Improved GPU-Based Parallel Computing Method for Landscape Index Calculation in Urban Area

作者: Kang, MJ (Kang, Mengjun); Ma, YL (Ma, Yunlong); Du, QY (Du, Qingyun); Weng, M (Weng, Min)

来源出版物: PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING  卷: 87  期: 2  页: 125-132  DOI: 10.14358/PERS.87.2.125  出版年: FEB 2021  

摘要: With the development of urbanization in the world, dealing with the problems caused by urban expansion is becoming more and more important. The data that need to be processed in urbanization studies have increased with the improvement of the spatial and temporal resolution of remote sensing satellites, exerting considerable pressure on traditional software used for landscape index computation. In this article, an improved landscape index-computing algorithm is proposed. Based on CULA, a pixel-group parallelization strategy is adopted to optimize the algorithm. The results show that the proposed algorithm increases the efficiency by more than a factor of three as the amount of data to be processed increases to 50 million pixels, thus providing a new way to calculate large-scale landscape index values on personal computers to study urbanization.

入藏号: WOS:000613182400008

语言: English

文献类型: Article

地址: [Kang, Mengjun; Ma, Yunlong; Du, Qingyun; Weng, Min] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Kang, Mengjun] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518034, Peoples R China.

通讯作者地址: Weng, M (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

电子邮件地址: wengmin@whu.edu.cn

影响因子：1.265