Pixel ratio method based on the best segmentation scale high resolution remote sensing images

被引：0

作者：

Li Dongliang ^{[1
,2
]}

Gong Jianhua ^{[2
]}

Li Yi ^{[2
]}

机构：

[1] Liaoning Tech Univ, Fuxin, Peoples R China

[2] Chinese Acad Sci, State Key Lab Remote Sensing, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing, Peoples R China

来源：

EPLWW3S 2011: 2011 INTERNATIONAL CONFERENCE ON ECOLOGICAL PROTECTION OF LAKES-WETLANDS-WATERSHED AND APPLICATION OF 3S TECHNOLOGY, VOL 3 | 2011年

关键词：

component; High-resolution remote sensing image; Pixel ratio method; Best; segmentation scale; Balance;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The extraction of the spatial structure and the geographic featured information of high-resolution needs to carry out in a variety of scales, however, it's still a hard problem for determining the division of different types of scales of different object-oriented classification. "Submergence" and "fragmergence" is an important measure for the effect of the division. In this paper, author uses a new method based on pixel ratio index to balance the "submergence" and "fragmergence", and thus achieve an optimal segmentation scale.

引用

页码：40 / 43

页数：4