Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions
Wang, Yu1,2,3; Shi, Cunzhao1; Wang, Chunheng1; Xiao, Baihua1
2017-07-01
发表期刊IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷号14期号:7页码:1106-1110
文章类型Article
摘要Currently, ground-based cloud images taken by using a whole-sky imager are especially popular in the field of meteorology because of their high resolution and accurate cloud information. Cloud images are natural texture images, and thus texture features based on local binary patterns (LBPs) are widely used to analyze texture images. However, the high-computation cost of extracting LBP features from high-resolution cloud texture images may make this technique unacceptable in practical image processing. A commonly adopted method is to resize the original image to an appropriate version with a decreased resolution. But this process will inevitably result in information loss. Accordingly, a measure based on the Kullback-Leibler (KL) divergence of the difference between LBP histogram features extracted from the original and resized images with varying resolutions is reported in this letter. Furthermore, a confidence interval technique is introduced to validate the significance of such difference. Experiments based on real ground-based cloud images show the measurement results of KL divergence in LBP features extracted from original and resized images. The experimental results indicate that images should be resized with caution when performing image processing.
关键词Kullback-leibler (Kl) Divergence Local Binary Patterns (Lbps) Measure Significance
WOS标题词Science & Technology ; Physical Sciences ; Technology
关键词[WOS]LOCAL BINARY PATTERNS ; TEXTURE CLASSIFICATION ; TROPICAL REGION ; COVER ; SEGMENTATION
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61531019 ; 61601462 ; 61503228)
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000404291500025
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15224
专题复杂系统管理与控制国家重点实验室_先进机器人
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
3.Shanxi Univ, Sch Software, Taiyuan 030006, Peoples R China
推荐引用方式
GB/T 7714
Wang, Yu,Shi, Cunzhao,Wang, Chunheng,et al. Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017,14(7):1106-1110.
APA Wang, Yu,Shi, Cunzhao,Wang, Chunheng,&Xiao, Baihua.(2017).Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,14(7),1106-1110.
MLA Wang, Yu,et al."Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14.7(2017):1106-1110.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Measure for the Diff(1224KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Yu]的文章
[Shi, Cunzhao]的文章
[Wang, Chunheng]的文章
百度学术
百度学术中相似的文章
[Wang, Yu]的文章
[Shi, Cunzhao]的文章
[Wang, Chunheng]的文章
必应学术
必应学术中相似的文章
[Wang, Yu]的文章
[Shi, Cunzhao]的文章
[Wang, Chunheng]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。