版权说明 操作指南
首页 > 成果 > 成果详情

GeoEye Image Fusion Vegetation Information Extraction Based on Blue Noise Measurement Texture

认领
导出
下载 Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
Qiu, Luo*;Xiong, Qiming;Liu, Yao;Zhang, Gui*
通讯作者:
Qiu, Luo;Zhang, Gui
作者机构:
[Qiu, Luo] Cent South Univ, Sch Geosci & Infophys, Changsha, Hunan, Peoples R China.
[Zhang, Gui; Xiong, Qiming] Cent South Univ Forestry & Technol, Changsha, Hunan, Peoples R China.
[Liu, Yao] Cent South Univ, Computat Geosci Res Ctr, Changsha, Hunan, Peoples R China.
通讯机构:
[Qiu, Luo; Zhang, Gui] C
Cent South Univ, Sch Geosci & Infophys, Changsha, Hunan, Peoples R China.
Cent South Univ Forestry & Technol, Changsha, Hunan, Peoples R China.
语种:
英文
期刊:
IOP Conference Series: Earth and Environmental Science
ISSN:
1755-1307
年:
2017
卷:
67
期:
1
页码:
012007-
会议名称:
7th International Conference on Environment and Industrial Innovation (ICEII)
会议论文集名称:
IOP Conference Series-Earth and Environmental Science
会议时间:
APR 24-26, 2017
会议地点:
Int Univ Malaya Wales, Kuala Lumpur, MALAYSIA
会议主办单位:
Int Univ Malaya Wales
出版地:
DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
出版者:
IOP PUBLISHING LTD
基金类别:
project in Hunan, which is "Natural disasters data based on satellite remote sensing monitoring interpretation technology research" [2016SK2088]
机构署名:
本校为通讯机构
摘要:
Vegetation high-resolution image segmentation is an important kind of target, while how to fuse image by using spatial and spectral information of GeoEye image, and make effective determination of the scale of vegetation texture segmentation is an important topic. This paper presents an algorithm of GeoEye image fusion vegetation information extraction based on blue noise measurement texture, which the vegetation information spectral response is calculated based on fast Fourier transform, in order to obtain the texture gray scale distribution of vegetation information, thus realizing accurate ...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com