Sky detection in hazy image | |
Song YC(宋颖超)1,2,3![]() ![]() ![]() ![]() | |
Department | 光电信息技术研究室 |
Source Publication | Sensors (Switzerland)
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ISSN | 1424-8220 |
2018 | |
Volume | 18Issue:4Pages:1-18 |
Indexed By | SCI ; EI |
EI Accession number | 20181504991167 |
WOS ID | WOS:000435574800132 |
Contribution Rank | 1 |
Keyword | Sky Detection Sky Labeling Haze-relevant Features Perceptual Hazy Density Imbalance Classifier Hazysky |
Abstract | Sky detection plays an essential role in various computer vision applications. Most existing sky detection approaches, being trained on ideal dataset, may lose efficacy when facing unfavorable conditions like the effects of weather and lighting conditions. In this paper, a novel algorithm for sky detection in hazy images is proposed from the perspective of probing the density of haze. We address the problem by an image segmentation and a region-level classification. To characterize the sky of hazy scenes, we unprecedentedly introduce several haze-relevant features that reflect the perceptual hazy density and the scene depth. Based on these features, the sky is separated by two imbalance SVM classifiers and a similarity measurement. Moreover, a sky dataset (named HazySky) with 500 annotated hazy images is built for model training and performance evaluation. To evaluate the performance of our method, we conducted extensive experiments both on our HazySky dataset and the SkyFinder dataset. The results demonstrate that our method performs better on the detection accuracy than previous methods, not only under hazy scenes, but also under other weather conditions. |
Language | 英语 |
WOS Subject | Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation |
WOS Keyword | SINGLE IMAGE ; SEGMENTATION ; STATISTICS |
WOS Research Area | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.sia.cn/handle/173321/21878 |
Collection | 光电信息技术研究室 |
Corresponding Author | Song YC(宋颖超) |
Affiliation | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China; 2.University of Chinese Academy of Sciences, Beijing 100049, China; 3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China |
Recommended Citation GB/T 7714 | Song YC,Luo HB,Ma JK,et al. Sky detection in hazy image[J]. Sensors (Switzerland),2018,18(4):1-18. |
APA | Song YC,Luo HB,Ma JK,Hui B,&Chang Z.(2018).Sky detection in hazy image.Sensors (Switzerland),18(4),1-18. |
MLA | Song YC,et al."Sky detection in hazy image".Sensors (Switzerland) 18.4(2018):1-18. |
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Sky detection in haz(3916KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download |
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