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Sky detection in hazy image
Song YC(宋颖超)1,2,3; Luo HB(罗海波)1,3; Ma JK(马俊凯)1,2,3; Hui B(惠斌)1,3; Chang Z(常铮)1,3
Department光电信息技术研究室
Source PublicationSensors (Switzerland)
ISSN1424-8220
2018
Volume18Issue:4Pages:1-18
Indexed BySCI ; EI
EI Accession number20181504991167
WOS IDWOS:000435574800132
Contribution Rank1
KeywordSky 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 SubjectChemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS KeywordSINGLE IMAGE ; SEGMENTATION ; STATISTICS
WOS Research AreaChemistry ; Electrochemistry ; Instruments & Instrumentation
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21878
Collection光电信息技术研究室
Corresponding AuthorSong YC(宋颖超)
Affiliation1.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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