메뉴 건너뛰기




Volumn 8, Issue 2, 2011, Pages 212-222

Zernike moments based war scene classification using ANN and SVM: A comparative study

Author keywords

Artificial neural networks; Scene classification; Support vector machines; Zernike moments

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDIES; DATA SETS; FEATURE EXTRACTION METHODS; FEED-FORWARD BACK PROPAGATION; KERNEL FUNCTION; NATURAL SCENES; NEW APPLICATIONS; RADIAL BASIS; SCENE CLASSIFICATION; SEMANTIC CATEGORY; VISUAL PERCEPTION; ZERNIKE MOMENTS;

EID: 79955649986     PISSN: 15487741     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (33)
  • 2
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • Oliva A., A. Torralba, ″Modeling the shape of the scene: A holistic representation of the spatial envelope″, International Journal of Computer Vision, vol. 42, no. 3(2001), 145-175
    • (2001) International Journal of Computer Vision , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 8
    • 33847211828 scopus 로고    scopus 로고
    • Segmentation and description of natural outdoor scenes
    • Bosch A., X. Munoz and J. Freixenet, ″Segmentation and description of natural outdoor scenes″, Image and Vision computing 25(2007) 727-740
    • (2007) Image and Vision Computing , vol.25 , pp. 727-740
    • Bosch, A.1    Munoz, X.2    Freixenet, J.3
  • 9
    • 22844448411 scopus 로고    scopus 로고
    • Indoor vs outdoor scene classification in digital photographs
    • Andrew Payne and Sameer Singh, ″Indoor vs outdoor scene classification in digital photographs″, Pattern Recognition 38(2005) 1533-1545
    • (2005) Pattern Recognition , vol.38 , pp. 1533-1545
    • Payne, A.1    Singh, S.2
  • 10
    • 0142120478 scopus 로고    scopus 로고
    • Texture segmentation using wavelet transform
    • December
    • Arivazhagan S., L. Ganesan. Texture Segmentation Using Wavelet Transform. Pattern Recognition Letters, 24(16): 3197-3203, December 2003
    • (2003) Pattern Recognition Letters , vol.24 , Issue.16 , pp. 3197-3203
    • Arivazhagan, S.1    Ganesan, L.2
  • 12
    • 0035150016 scopus 로고    scopus 로고
    • Color scene classification by Zernike moment invariants
    • Yongjun Zhou, Mehmet Celenk, ″Color scene classification by Zernike moment invariants″, Visual Information Processing X, Proceedings Vol. 4388, (2001), 46-55
    • (2001) Visual Information Processing X, Proceedings , vol.4388 , pp. 46-55
    • Zhou, Y.1    Celenk, M.2
  • 13
    • 33747113980 scopus 로고
    • Beugungstheorie des schneidenverfahrens und seiner verbesserten form, derphasenkontrastmethode
    • F. Zernike. Beugungstheorie des schneidenverfahrens und seiner verbesserten form, derphasenkontrastmethode, Physica, 1: pp. 689-704, 1934
    • (1934) Physica , vol.1 , pp. 689-704
    • Zernike, F.1
  • 16
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • McCulloch, W. and W. Pitts, A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics, Vol. 5, (1943), 115-133
    • (1943) Bulletin of Mathematical Biophysics , vol.5 , pp. 115-133
    • McCulloch, W.1    Pitts, W.2
  • 18
    • 0003529238 scopus 로고
    • Beyond regression: New tools for prediction and analysis in the behavioral sciences
    • PhD thesis, Harvard University
    • Werbo P J., Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences. PhD thesis, Harvard University, 1974
    • (1974)
    • Werbo, P.J.1
  • 19
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • October
    • Rumelhart D., G. Hinton, and R. Williams. Learning representations by back-propagating errors. Nature, 323, (October 1986), 533-536
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.1    Hinton, G.2    Williams, R.3
  • 21
    • 0005900905 scopus 로고    scopus 로고
    • The support vector method of function estimation
    • Springer-Verlag, New York, NY
    • Vapnik, V. N., ″The support vector method of function estimation. In: Generalization in Neural Network and Machine Learning. Springer-Verlag, New York, NY, (1998), 239-268
    • (1998) Generalization in Neural Network and Machine Learning , pp. 239-268
    • Vapnik, V.N.1
  • 22
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Christopher J. C. Burges. ″A Tutorial on Support Vector Machines for Pattern Recognition″, Data Mining and Knowledge Discovery 2, (1998), 121-167
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 23
    • 79955644074 scopus 로고    scopus 로고
    • http://cvcl.mit.edu/database.htm
  • 24
    • 79955669196 scopus 로고    scopus 로고
    • http://www.archives.gov/research/ww2/photos/
  • 25
    • 79955674362 scopus 로고    scopus 로고
    • http://www.militaryphotos.net/
  • 26
    • 79955675192 scopus 로고    scopus 로고
    • http://www.military.com/
  • 27
    • 79955673837 scopus 로고    scopus 로고
    • http://www.worldwar1.com/pharc.htm
  • 28
    • 79955667084 scopus 로고    scopus 로고
    • http://www.gwpda.org/
  • 29
    • 79955646173 scopus 로고    scopus 로고
    • http://www.historyofwar.org/
  • 30
    • 79955674033 scopus 로고    scopus 로고
    • http://en.wikipedia.org/wiki/Tanks_in_World_War_I
  • 31
    • 79955673322 scopus 로고    scopus 로고
    • http://en.wikipedia.org/wiki/Tanks_in_the_Cold_War
  • 32
    • 79955659061 scopus 로고    scopus 로고
    • http://en.wikipedia.org/wiki/Tanks_in_World_War_II
  • 33
    • 79955644564 scopus 로고    scopus 로고
    • http://en.wikipedia.org/wiki/Tank_classification


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.