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Multiscale differential fractal feature with application to target detection
Shi ZL(史泽林); Wei Y(魏颖); Huang SB(黄莎白)
Department光电信息研究室
Conference NameConference on Acquisition, Tracking, and Pointing XVIII
Conference DateApril 14-14, 2004
Conference PlaceOrlando, FL
Author of SourceSPIE
Source PublicationACQUISITION, TRACKING, AND POINTING XVIII
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Publication PlaceBELLINGHAM
2004
Pages165-172
Indexed ByEI ; CPCI(ISTP)
EI Accession number2004498705513
WOS IDWOS:000223369500016
Contribution Rank1
ISSN0277-786X
ISBN0-8194-5353-6
KeywordImage Recognition Target Detection Fractal Feature Gray Histogram Analysis
AbstractA multiscale differential fractal feature of an image is proposed and a small target detection method from complex nature clutter is presented. Considering the speciality that the fractal features of man-made objects change much more violently than that of nature's when the scale is varied, fractal features at multiple scales used for distinguishing man-made target from nature clutter should have more advantages over standard fractal dimensions. Multiscale differential fractal dimensions are deduced from typical fractal model and standard covering-blanket method is improved and used to estimate multiscale fractal dimensions. A multiscale differential fractal feature is defined as the variation of fractal dimensions between two scales at a rational scale range. It can stand out the fractal feature of man-made object from natural clutters much better than the fractal dimension by standard covering-blanket method. Meanwhile, the calculation and the storage amount are reduced greatly, they are 4/M and 2/M that of the standard covering-blanket method respectively (M is scale). In the image of multiscale differential fractal feature, local gray histogram statistical method is used for target detection. Experiment results indicate that this method is suitable for both kinds background of land and sea. It also can be appropriate in both kinds of infrared and TV images, and can detect small targets from a single frame correctly. This method is with high speed and is easy to be implemented.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/7998
Collection光电信息技术研究室
Corresponding AuthorShi ZL(史泽林)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016
2.School of Information, Northestern University, Shenyang, 110004, China
Recommended Citation
GB/T 7714
Shi ZL,Wei Y,Huang SB. Multiscale differential fractal feature with application to target detection[C]//SPIE. BELLINGHAM:SPIE-INT SOC OPTICAL ENGINEERING,2004:165-172.
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