메뉴 건너뛰기




Volumn 55, Issue 12, 2017, Pages 7092-7103

High-Resolution Aerial Image Labeling with Convolutional Neural Networks

Author keywords

Convolutional neural networks (CNNs); deep learning; high resolution aerial imagery; semantic labeling

Indexed keywords

AERIAL PHOTOGRAPHY; COMPUTER ARCHITECTURE; CONVOLUTION; CONVOLUTIONAL CODES; DEEP LEARNING; IMAGE ANALYSIS; LABELING; NETWORK ARCHITECTURE; NEURAL NETWORKS; NEURONS; SEMANTICS;

EID: 85029010312     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2740362     Document Type: Article
Times cited : (208)

References (34)
  • 2
    • 84977998287 scopus 로고    scopus 로고
    • Salient band selection for hyperspectral image classification via manifold ranking
    • Jun.
    • Q. Wang, J. Lin, Y. Yuan, "Salient band selection for hyperspectral image classification via manifold ranking, " IEEE Trans. Neural Netw. Learn. Syst., vol. 27, no. 6, pp. 1279-1289, Jun. 2016.
    • (2016) IEEE Trans. Neural Netw. Learn. Syst. , vol.27 , Issue.6 , pp. 1279-1289
    • Wang, Q.1    Lin, J.2    Yuan, Y.3
  • 3
    • 84906489074 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • M. D. Zeiler and R. Fergus, "Visualizing and understanding convolutional networks, " in Proc. ECCV, 2014, pp. 818-833.
    • (2014) Proc. ECCV , pp. 818-833
    • Zeiler, M.D.1    Fergus, R.2
  • 4
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Nov.
    • Y. LeCun, L. Bottou, Y. Bengio, P. Haffner, "Gradient-based learning applied to document recognition, " Proc. IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998.
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 5
    • 84876231242 scopus 로고    scopus 로고
    • ImageNet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, G. E. Hinton, "ImageNet classification with deep convolutional neural networks, " in Proc. NIPS, 2012, pp. 1097-1105.
    • (2012) Proc. NIPS , pp. 1097-1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 8
    • 84994217941 scopus 로고    scopus 로고
    • Dense semantic labeling of subdecimeter resolution images with convolutional neural networks
    • Feb.
    • M. Volpi and D. Tuia, "Dense semantic labeling of subdecimeter resolution images with convolutional neural networks, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 2, pp. 881-893, Feb. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.2 , pp. 881-893
    • Volpi, M.1    Tuia, D.2
  • 11
    • 84973879016 scopus 로고    scopus 로고
    • Learning deconvolution network for semantic segmentation
    • Dec.
    • H. Noh, S. Hong, B. Han, "Learning deconvolution network for semantic segmentation, " in Proc. IEEE Int. Conf. Comput. Vis. (ICCV), Dec. 2015, pp. 1520-1528.
    • (2015) Proc. IEEE Int. Conf. Comput. Vis. (ICCV) , pp. 1520-1528
    • Noh, H.1    Hong, S.2    Han, B.3
  • 16
    • 85038562432 scopus 로고    scopus 로고
    • ISPRS. [Online]. Available
    • ISPRS. [Online]. Available: Http://www2.isprs.org/commissions/comm3/wg4/semantic-labeling.html
  • 17
    • 84992121956 scopus 로고    scopus 로고
    • Convolutional neural networks for large-scale remote-sensing image classification
    • Feb.
    • E. Maggiori, Y. Tarabalka, G. Charpiat, P. Alliez, "Convolutional neural networks for large-scale remote-sensing image classification, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 2, pp. 645-657, Feb. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.2 , pp. 645-657
    • Maggiori, E.1    Tarabalka, Y.2    Charpiat, G.3    Alliez, P.4
  • 19
    • 77956502203 scopus 로고    scopus 로고
    • A theoretical analysis of feature pooling in visual recognition
    • Y.-L. Boureau, J. Ponce, Y. LeCun, "A theoretical analysis of feature pooling in visual recognition, " in Proc. ICML, 2010, pp. 111-118.
    • (2010) Proc. ICML , pp. 111-118
    • Boureau, Y.-L.1    Ponce, J.2    Le Cun, Y.3
  • 20
    • 85010208970 scopus 로고    scopus 로고
    • Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks
    • Jun.
    • M. Kampffmeyer, A.-B. Salberg, R. Jenssen, "Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) Workshops, Jun. 2016, pp. 1-9.
    • (2016) Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) Workshops , pp. 1-9
    • Kampffmeyer, M.1    Salberg, A.-B.2    Jenssen, R.3
  • 25
    • 84979964959 scopus 로고    scopus 로고
    • Learning to simplify: Fully convolutional networks for rough sketch cleanup
    • Jul.
    • E. Simo-Serra, S. Iizuka, K. Sasaki, H. Ishikawa, "Learning to simplify: Fully convolutional networks for rough sketch cleanup, " ACM Trans. Graph., vol. 35, no. 4, Jul. 2016, Art. no. 121.
    • (2016) ACM Trans. Graph. , vol.35 , Issue.4
    • Simo-Serra, E.1    Iizuka, S.2    Sasaki, K.3    Ishikawa, H.4
  • 31
    • 84973911419 scopus 로고    scopus 로고
    • Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
    • Dec.
    • K. He, X. Zhang, S. Ren, J. Sun, "Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, " in Proc. IEEE Int. Conf. Comput. Vis. (ICCV), Dec. 2015, pp. 1026-1034.
    • (2015) Proc. IEEE Int. Conf. Comput. Vis. (ICCV) , pp. 1026-1034
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 32
    • 84872577736 scopus 로고    scopus 로고
    • Practical recommendations for gradient-based training of deep architectures
    • Berlin, Germany: Springer
    • Y. Bengio, "Practical recommendations for gradient-based training of deep architectures, " in Neural Networks: Tricks of the Trade. Berlin, Germany: Springer, 2012, pp. 437-478.
    • (2012) Neural Networks: Tricks of the Trade , pp. 437-478
    • Bengio, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.