메뉴 건너뛰기




Volumn 2017-July, Issue , 2017, Pages 5438-5441

SAR image despeckling through convolutional neural networks

Author keywords

Convolutional neural networks; Multiplicative noise; SAR; Speckle

Indexed keywords


EID: 85041837841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2017.8128234     Document Type: Conference Paper
Times cited : (287)

References (16)
  • 2
    • 50549085645 scopus 로고    scopus 로고
    • Segmentation-based MAP despeckling of SAR images in the undecimatedwavelet domain
    • T. Bianchi, F. Argenti, and L. Alparone, "Segmentation-Based MAP Despeckling of SAR Images in the UndecimatedWavelet Domain, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 9, pp. 2728-2742, 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens , vol.46 , Issue.9 , pp. 2728-2742
    • Bianchi, T.1    Argenti, F.2    Alparone, L.3
  • 3
    • 67649760648 scopus 로고    scopus 로고
    • SAR image filtering via learned dictionaries and sparse representations
    • S. Foucher, "SAR image filtering via learned dictionaries and sparse representations, " in IEEE IGARSS, 2008, pp. 229-232.
    • (2008) IEEE IGARSS , pp. 229-232
    • Foucher, S.1
  • 4
    • 77649236151 scopus 로고    scopus 로고
    • Iterative weighted maximum likelihood denoising with probabilistic patch-based weights
    • C.-A. Deledalle, L. Denis, and F. Tupin, "Iterative weighted maximum likelihood denoising with probabilistic patch-based weights, " IEEE Trans. on Image Process., vol. 18, no. 12, pp. 2661-2672, 2009.
    • (2009) IEEE Trans. on Image Process , vol.18 , Issue.12 , pp. 2661-2672
    • Deledalle, C.-A.1    Denis, L.2    Tupin, F.3
  • 5
    • 84856341300 scopus 로고    scopus 로고
    • A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage
    • Feb
    • S. Parrilli, M. Poderico, C.V. Angelino, and L. Verdoliva, "A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage, " IEEE Trans. Geosci. Remote Sens., vol. 50, no. 2, pp. 606-616, Feb. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens , vol.50 , Issue.2 , pp. 606-616
    • Parrilli, S.1    Poderico, M.2    Angelino, C.V.3    Verdoliva, L.4
  • 7
    • 84908043058 scopus 로고    scopus 로고
    • NL-SAR: A unified nonlocal framework for resolutionpreserving (Pol)(In)SAR denoising
    • C.-A. Deledalle, L. Denis, F. Tupin, A. Reigber, and M. Jäger, "NL-SAR: A unified nonlocal framework for resolutionpreserving (Pol)(In)SAR denoising, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 4, pp. 2021-2038, 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens , vol.53 , Issue.4 , pp. 2021-2038
    • Deledalle, C.-A.1    Denis, L.2    Tupin, F.3    Reigber, A.4    Jäger, M.5
  • 9
    • 84866679588 scopus 로고    scopus 로고
    • Image denoising: Can plain neural networks compete with BM3D?
    • H.C. Burger, C.J. Schuler, and S. Harmeling, "Image denoising: Can plain neural networks compete with BM3D?, " in IEEE CVPR, 2012, pp. 2392-2399.
    • (2012) IEEE CVPR , pp. 2392-2399
    • Burger, H.C.1    Schuler, C.J.2    Harmeling, S.3
  • 10
    • 85041834776 scopus 로고    scopus 로고
    • Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising
    • K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang, "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising, " arXiv:1608.03981v1, 2016.
    • (2016) ArXiv:1608.03981v1
    • Zhang, K.1    Zuo, W.2    Chen, Y.3    Meng, D.4    Zhang, L.5
  • 11
  • 12
    • 84986274465 scopus 로고    scopus 로고
    • Deep residual learning for image recognition
    • K. He, X. Zhang, S. Ren, and J. Sun, "Deep Residual Learning for Image Recognition, " in IEEE CVPR, 2016, pp. 770-778.
    • (2016) IEEE CVPR , pp. 770-778
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 14
    • 84973287466 scopus 로고    scopus 로고
    • Batch normalization: Accelerating deep network training by reducing internal covariate shift
    • S. Ioffe and C. Szegedy, "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, " arXiv:1502.03167v3, 2015.
    • (2015) ArXiv:1502.03167v3
    • Ioffe, S.1    Szegedy, C.2
  • 15
    • 84962815548 scopus 로고    scopus 로고
    • Matconvnet: Convolutional neural networks for Matlab
    • A. Vedaldi and K. Lenc, "Matconvnet: Convolutional neural networks for Matlab, " in ACM Conf. on Multimedia Conference, 2015, pp. 689-692.
    • (2015) ACM Conf. on Multimedia Conference , pp. 689-692
    • Vedaldi, A.1    Lenc, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.