中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A novel automatic enhancement method for optical remotely sensed image

文献类型:期刊论文

作者Liu Xinyan1; Liu Jiahang2; Yan Junping1
刊名Journal of Northwest University. Natural Science Edition
出版日期2016
卷号46期号:3页码:448-452
关键词Histogram Optimization Contrast Stretch Definition Enhancement Vision Effect Improvement Self-adaptive Enhancement
ISSN号1000-274X
其他题名一种基于直方图变换的光学遥感影像自动增强方法
产权排序2
英文摘要

The image contrast and definition of remotely sensed image are the important factors of image quality. This paper presented a novel self-adaptive enhancement method for contrast and definition. Firstly,nonlinear transformation is operated on the histogram of an input image to reduce the distribution range of the image,and then linear stretch is used to expand the grey level to full permitted range. Experiments and comparison indicate that the presented method can improve the contrast and the definition with a little loss of information entropy and the enhanced results is rather fine than current main method of enhancement. Also,the presented method can be used to both panchromatic and colorful remotely sensed image.

语种中文
源URL[http://ir.opt.ac.cn/handle/181661/28344]  
专题西安光学精密机械研究所_遥感与智能信息系统研究中心
作者单位1.School of Tourism and Environmental Science,Shaanxi Normal University,Xi'an 710119,China
2.Laboratory of Remote Sensing and Intelligent Information System,Xi'an Institute of Optics and Precision Mechanics: Chinese Academy of Sciences,Xi'an 710119,China
推荐引用方式
GB/T 7714
Liu Xinyan,Liu Jiahang,Yan Junping. A novel automatic enhancement method for optical remotely sensed image[J]. Journal of Northwest University. Natural Science Edition,2016,46(3):448-452.
APA Liu Xinyan,Liu Jiahang,&Yan Junping.(2016).A novel automatic enhancement method for optical remotely sensed image.Journal of Northwest University. Natural Science Edition,46(3),448-452.
MLA Liu Xinyan,et al."A novel automatic enhancement method for optical remotely sensed image".Journal of Northwest University. Natural Science Edition 46.3(2016):448-452.

入库方式: OAI收割

来源:西安光学精密机械研究所

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