Mapping highly heterogeneous impervious surface in the urban-rural fringe using integrated hard and soft classification from incorporating spectral and texture features - 文章详情页

作者：

Zhu, S. (Zhu, S..) | Zhang, J. (Zhang, J..) | Gu, X. (Gu, X..) | Yang, J. (Yang, J..) | Xian, B. (Xian, B..)

收录：

Scopus

摘要：

In　this　paper,　an　innovative　method　of　integrating　hard　and　soft　classification,　extended　support　vector　machines,　is　introduced　to　map　impervious　surface　in　urban-rural　fringe　area,　where　is　experiencing　dramatic　land　cover　change.　The　proposed　method　incorporates　the　variance　texture　information　as　an　effective　indicator　to　represent　the　heterogeneity　of　urban-rural　fringe　and　possesses　the　merits　of　hard　and　soft　classification　to　map　both　pure　pixels　and　mixed　pixels　of　impervious　surface.　The　better　performance　compared　with　conventional　hard　and　soft　method　was　demonstrated　in　urban-rural　fringe　area,　Beijing.　©　2018　IEEE.

关键词：

Impervious surface; Integrated hard and soft classification; Spectral; Texture; Urban-rural fringe areas

作者机构：

[ 1 ] [Zhu, S.]Beijing Polytechnic College, Beijing, 100042, China
[ 2 ] [Zhu, S.]State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China
[ 3 ] [Zhang, J.]State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China
[ 4 ] [Gu, X.]Beijing Research Center for Information Technology in Agriculture, Beijing, 100097, China
[ 5 ] [Yang, J.]State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China
[ 6 ] [Xian, B.]School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, 7500021, China

通讯作者信息：

[Zhang, J.]State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal UniversityChina

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