MAPPING HIGHLY HETEROGENEOUS IMPERVIOUS SURFACE IN THE URBAN-RURAL FRINGE USING INTEGRATED HARD AND SOFT CLASSIFICATION FROM INCORPORATING SPECTRAL AND TEXTURE FEATURES

被引：0

作者：

Zhu, Shuang ^{[1
,2
]}

Zhang, Jinshui ^{[2
]}

Gu, Xiaohe ^{[3
]}

Yang, Junwen ^{[2
]}

Xian, Baolin ^{[4
]}

机构：

[1] Beijing Polytech Coll, Beijing 100042, Peoples R China

[2] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource, Beijing 100875, Peoples R China

[3] Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

[4] Ningxia Univ, Sch Civil & Hydraul Engn, Yinchuan 7500021, Peoples R China

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

integrated hard and soft classification; impervious surface; urban-rural fringe areas; texture; spectral;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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.

引用

页码：6951 / 6954

页数：4