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Volumn 3124, Issue , 2004, Pages 1041-1046

Filtering effects on SAR images segmentation

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; NOISE ABATEMENT; SPECKLE; SYNTHETIC APERTURE RADAR;

EID: 33744774883     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27824-5_136     Document Type: Article
Times cited : (7)

References (14)
  • 1
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    • The Effects of Speckle Reduction on Classification of ERS SAR Data
    • Capstick, D., Harris, R.: The Effects of Speckle Reduction on Classification of ERS SAR Data, International Journal of Remote Sensing, Vol. 22 (18). (2001) 3627-3641
    • (2001) International Journal of Remote Sensing , vol.22 , Issue.18 , pp. 3627-3641
    • Capstick, D.1    Harris, R.2
  • 2
    • 0019728171 scopus 로고
    • Speckle Analysis and Smoothing of Synthetic Aperture Radar Images'
    • Lee, J. S.: Speckle Analysis and Smoothing of Synthetic Aperture Radar Images', Computer Graphics and Image Process, Vol. 17. (1981) 24-32
    • (1981) Computer Graphics and Image Process , vol.17 , pp. 24-32
    • Lee, J.S.1
  • 3
    • 0022029165 scopus 로고
    • Adaptive noise smoothing filter for images with signal dependent noise
    • Kuan, D. T. et al.: Adaptive noise smoothing filter for images with signal dependent noise, IEEE Trans, on Pattern Analysis and Machine Intelligence, Vol. 7 (2). (1985) 165-177
    • (1985) IEEE Trans, on Pattern Analysis and Machine Intelligence , vol.7 , Issue.2 , pp. 165-177
    • Kuan, D.T.1
  • 4
    • 0019925686 scopus 로고
    • A Model for Radar Image and its Application to Adaptive Digital Filtering of Multiplicative Noise
    • Frost, V. S. et al.: A Model for Radar Image and its Application to Adaptive Digital Filtering of Multiplicative Noise, IEEE Transactions on Geoscience and Remote Sensing, Vol. 4 (2). (1982) 157-166
    • (1982) IEEE Transactions on Geoscience and Remote Sensing , vol.4 , Issue.2 , pp. 157-166
    • Frost, V.S.1
  • 5
    • 35048860690 scopus 로고    scopus 로고
    • Evaluating an Adaptive Windowing Scheme in Speckle Noise MAP Filtering
    • Fortaleza Brazil
    • Medeiros, F. N. S. et al.: Evaluating an Adaptive Windowing Scheme in Speckle Noise MAP Filtering, SIBIGRAP2002, Fortaleza Brazil (2002) 281-285
    • (2002) SIBIGRAP2002 , pp. 281-285
    • Medeiros, F.N.S.1
  • 8
    • 0036487280 scopus 로고    scopus 로고
    • The Global K-Means Clustering Algorithm
    • Likas, A., Vlassisb, N., Verbeekb, J.: The Global K-Means Clustering Algorithm, Pattern Recognition, Vol. 36(2). (2003) 451-461
    • (2003) Pattern Recognition , vol.36 , Issue.2 , pp. 451-461
    • Likas, A.1    Vlassisb, N.2    Verbeekb, J.3
  • 9
    • 0031247240 scopus 로고    scopus 로고
    • Evaluation and comparison of different segmentation algorithms
    • Zhang, Y. J.: Evaluation and comparison of different segmentation algorithms, Pattern Recognition Letters, Vol. 18. (1997) 963-974
    • (1997) Pattern Recognition Letters , vol.18 , pp. 963-974
    • Zhang, Y.J.1
  • 11
    • 0033312927 scopus 로고    scopus 로고
    • Speckle Filtering of SAR Images Based on Adaptive Windowing
    • Park, J. M., Song, W. J., Pearlman, W. A.: Speckle Filtering of SAR Images Based on Adaptive Windowing, IEE Proc. Vis. Image Processing, Vol. 146 (4). (1999) 191-197
    • (1999) IEE Proc. Vis. Image Processing , vol.146 , Issue.4 , pp. 191-197
    • Park, J.M.1    Song, W.J.2    Pearlman, W.A.3
  • 12
    • 0033204902 scopus 로고    scopus 로고
    • An Empirical Comparison of Four Initialization Methods for the k-Means Algorithm
    • Peña, J. M., Lozano, J. A., Larrañaga, P.: An Empirical Comparison of Four Initialization Methods for the k-Means Algorithm, Pattern Recognition Letter, Vol. 20 (10). (1999) 1027-1040
    • (1999) Pattern Recognition Letter , vol.20 , Issue.10 , pp. 1027-1040
    • Peña, J.M.1    Lozano, J.A.2    Larrañaga, P.3
  • 13
    • 0036565310 scopus 로고    scopus 로고
    • Cluster Number Selection for a Small Set of Samples Using the Bayesian Ying-Yang Model
    • Guo, P., Chen, C. L. P., Lyu, M. R.: Cluster Number Selection for a Small Set of Samples Using the Bayesian Ying-Yang Model, IEEE Trans. Neural Networks, Vol. 13 (3). (2002) 757-763
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.3 , pp. 757-763
    • Guo, P.1    Chen, C.L.P.2    Lyu, M.R.3
  • 14
    • 0027061175 scopus 로고
    • Comparing the performance of SAR image segmentation algorithms
    • Delves, L. M. et al.: Comparing the performance of SAR image segmentation algorithms, International Journal of Remote Sensing, Vol. 13 (11). (1992) 2121-2149
    • (1992) International Journal of Remote Sensing , vol.13 , Issue.11 , pp. 2121-2149
    • Delves, L.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.