Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine - 空天智能计算实验室 | LabXing

array(2) { ["lab"]=> string(4) "1260" ["publication"]=> string(5) "10474" } Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine - 空天智能计算实验室 | LabXing

空天智能计算实验室

简介致力于空天大数据背景下的目标分析与辩识研究

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Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine

2016

期刊 Journal of Applied Remote Sensing

作者 Feng Gao · Junyu Dong · Bo Li · Qizhi Xu · Cui Xie

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卷 10
期 4
页码 046019
SPIE-Intl Soc Optical Eng
ISSN: 1931-3195
DOI: 10.1117/1.jrs.10.046019

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