The Random Forest Approach for Land Cover Mapping

被引：0

作者：

Aonpong, Panyanat ^{[1
]}

Kasetkasem, Teerasit ^{[1
]}

Rakwatin, Preesan ^{[2
]}

Kumazawa, Itsuo ^{[3
]}

Chanwimaluang, Thitiporn ^{[4
]}

机构：

[1] Kasetsart Univ, Dept Elect Engn, Bangkok, Thailand

[2] GISTDA, Govt Complex, Bangkok, Thailand

[3] Tokyo Inst Technol, Imaging Sci & Engn Lab, Midori Ku, R2-59,4266 Nagatsuta Cho, Yokohama, Kanagawa, Japan

[4] NECTEC, Pathum Thani, Thailand

来源：

7TH INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION TECHNOLOGY FOR EMBEDDED SYSTEMS 2016 (IC-ICTES 2016) | 2016年

关键词：

Land cover mapping; Random Forest; Neighbor-looking; Pixel-based method; Image Processing; classification;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we proposed a new random forest algorithm designed specifically for the land cover mapping problem. Three approaches are investigated, namely, pixel-based, neighbor-looking and combination of both. In the pixel-based approach, we use the fact that all decision trees are different whereas, in the neighbor-looing, the decisions from neighboring pixels are used when the decisions from the Random forest is not clear. Our results on simulated and actual data set showed that our new RF approaches outperformed the traditional one.

引用

页码：1 / 6

页数：6

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