메뉴 건너뛰기




Volumn 56, Issue 2, 2018, Pages 950-965

Large-Scale Remote Sensing Image Retrieval by Deep Hashing Neural Networks

Author keywords

Deep hashing neural networks (DHNNs); large scale remote sensing image retrieval; remote sensing big data (RSBD) mining; supervised learning from scratch; transfer learning

Indexed keywords

BIG DATA; DATA MINING; DEEP NEURAL NETWORKS; LEARNING SYSTEMS; NEURAL NETWORKS; REMOTE SENSING; SEARCH ENGINES; SUPERVISED LEARNING;

EID: 85041331909     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2017.2756911     Document Type: Article
Times cited : (261)

References (59)
  • 1
    • 84994297166 scopus 로고    scopus 로고
    • Big data for remote sensing: Challenges and opportunities
    • Nov.
    • M. Chi, A. Plaza, J. A. Benediktsson, Z. Sun, J. Shen, and Y. Zhu, "Big data for remote sensing: Challenges and opportunities, " Proc. IEEE, vol. 104, no. 11, pp. 2207-2219, Nov. 2016.
    • (2016) Proc. IEEE , vol.104 , Issue.11 , pp. 2207-2219
    • Chi, M.1    Plaza, A.2    Benediktsson, J.A.3    Sun, Z.4    Shen, J.5    Zhu, Y.6
  • 2
    • 84930575472 scopus 로고    scopus 로고
    • Remote sensing big data computing: Challenges and opportunities
    • Oct.
    • Y. Ma et al., "Remote sensing big data computing: Challenges and opportunities, " Future Generat. Comput. Syst., vol. 51, pp. 47-60, Oct. 2015.
    • (2015) Future Generat. Comput. Syst. , vol.51 , pp. 47-60
    • Ma, Y.1
  • 3
    • 84908564485 scopus 로고    scopus 로고
    • Estimating the statistical characteristics of remote sensing big data in the wavelet transform domain
    • Sep.
    • L. Wang, H. Zhong, R. Ranjan, A. Zomaya, and P. Liu, "Estimating the statistical characteristics of remote sensing big data in the wavelet transform domain, " IEEE Trans. Emerg. Topics Comput., vol. 2, no. 3, pp. 324-337, Sep. 2014.
    • (2014) IEEE Trans. Emerg. Topics Comput. , vol.2 , Issue.3 , pp. 324-337
    • Wang, L.1    Zhong, H.2    Ranjan, R.3    Zomaya, A.4    Liu, P.5
  • 4
    • 79955623044 scopus 로고    scopus 로고
    • Entropy-balanced bitmap tree for shape-based object retrieval from large-scale satellite imagery databases
    • May
    • G. J. Scott, M. N. Klaric, C. H. Davis, and C.-R. Shyu, "Entropy-balanced bitmap tree for shape-based object retrieval from large-scale satellite imagery databases, " IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1603-1616, May 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.5 , pp. 1603-1616
    • Scott, G.J.1    Klaric, M.N.2    Davis, C.H.3    Shyu, C.-R.4
  • 5
    • 33744902835 scopus 로고    scopus 로고
    • Automated feature generation in large-scale geospa-tial libraries for content-based indexing
    • K. W. Tobin et al., "Automated feature generation in large-scale geospa-tial libraries for content-based indexing, " Photogramm. Eng. Remote Sens., vol. 72, no. 5, pp. 531-540, 2006.
    • (2006) Photogramm. Eng. Remote Sens. , vol.72 , Issue.5 , pp. 531-540
    • Tobin, K.W.1
  • 6
    • 33947629196 scopus 로고    scopus 로고
    • GeoIRIS: Geospatial Information Retrieval and Indexing System-Content mining, semantics modeling, and complex queries
    • Apr.
    • C.-R. Shyu, M. Klaric, G. J. Scott, A. S. Barb, C. H. Davis, and K. Palaniappan, "GeoIRIS: Geospatial Information Retrieval and Indexing System-Content mining, semantics modeling, and complex queries, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 839-852, Apr. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.4 , pp. 839-852
    • Shyu, C.-R.1    Klaric, M.2    Scott, G.J.3    Barb, A.S.4    Davis, C.H.5    Palaniappan, K.6
  • 7
    • 85011309163 scopus 로고    scopus 로고
    • Partial randomness hashing for large-scale remote sensing image retrieval
    • Mar.
    • P. Li and P. Ren, "Partial randomness hashing for large-scale remote sensing image retrieval, " IEEE Geosci. Remote Sens. Lett., vol. 14, no. 3, pp. 464-468, Mar. 2017.
    • (2017) IEEE Geosci. Remote Sens. Lett. , vol.14 , Issue.3 , pp. 464-468
    • Li, P.1    Ren, P.2
  • 8
    • 84942037053 scopus 로고    scopus 로고
    • Hashing-based scalable remote sensing image search and retrieval in large archives
    • Feb.
    • B. Demir and L. Bruzzone, "Hashing-based scalable remote sensing image search and retrieval in large archives, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 2, pp. 892-904, Feb. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.2 , pp. 892-904
    • Demir, B.1    Bruzzone, L.2
  • 9
    • 84921031076 scopus 로고    scopus 로고
    • A novel active learning method in relevance feedback for content-based remote sensing image retrieval
    • May
    • B. Demir and L. Bruzzone, "A novel active learning method in relevance feedback for content-based remote sensing image retrieval, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 5, pp. 2323-2334, May 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.5 , pp. 2323-2334
    • Demir, B.1    Bruzzone, L.2
  • 10
    • 84885022985 scopus 로고    scopus 로고
    • Remote sensing image retrieval by scene semantic matching
    • May
    • M. Wang and T. Song, "Remote sensing image retrieval by scene semantic matching, " IEEE Trans. Geosci. Remote Sens., vol. 51, no. 5, pp. 2874-2886, May 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.5 , pp. 2874-2886
    • Wang, M.1    Song, T.2
  • 11
    • 84872918592 scopus 로고    scopus 로고
    • Geographic image retrieval using local invariant features
    • Feb.
    • Y. Yang and S. Newsam, "Geographic image retrieval using local invariant features, " IEEE Trans. Geosci. Remote Sens., vol. 51, no. 2, pp. 818-832, Feb. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.2 , pp. 818-832
    • Yang, Y.1    Newsam, S.2
  • 12
    • 84896319674 scopus 로고    scopus 로고
    • Remote sensing image retrieval with global morphological texture descriptors
    • May
    • E. Aptoula, "Remote sensing image retrieval with global morphological texture descriptors, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 3023-3034, May 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.5 , pp. 3023-3034
    • Aptoula, E.1
  • 13
  • 14
    • 0742320815 scopus 로고    scopus 로고
    • Using texture to analyze and manage large collections of remote sensed image and video data
    • S. Newsam, L. Wang, S. Bhagavathy, and B. S. Manjunath, "Using texture to analyze and manage large collections of remote sensed image and video data, " Appl. Opt., vol. 43, no. 2, pp. 210-217, 2004.
    • (2004) Appl. Opt. , vol.43 , Issue.2 , pp. 210-217
    • Newsam, S.1    Wang, L.2    Bhagavathy, S.3    Manjunath, B.S.4
  • 15
    • 48349133650 scopus 로고    scopus 로고
    • Indexing of satellite images with different resolutions by wavelet features
    • Aug.
    • B. Luo, J. F. Aujol, Y. Gousseau, and S. Ladjal, "Indexing of satellite images with different resolutions by wavelet features, " IEEE Trans. Image Process., vol. 17, no. 8, pp. 1465-1472, Aug. 2008.
    • (2008) IEEE Trans. Image Process. , vol.17 , Issue.8 , pp. 1465-1472
    • Luo, B.1    Aujol, J.F.2    Gousseau, Y.3    Ladjal, S.4
  • 16
    • 84988568825 scopus 로고    scopus 로고
    • Structure tensor Riemannian statistical models for CBIR and classification of remote sensing images
    • Jan.
    • R. Rosu, M. Donias, L. Bombrun, S. Said, O. Regniers, and J.-P. Da Costa, "Structure tensor Riemannian statistical models for CBIR and classification of remote sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 1, pp. 248-260, Jan. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.1 , pp. 248-260
    • Rosu, R.1    Donias, M.2    Bombrun, L.3    Said, S.4    Regniers, O.5    Da Costa, J.-P.6
  • 17
    • 84940766118 scopus 로고    scopus 로고
    • High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder
    • W. Zhou, Z. Shao, C. Diao, and Q. Cheng, "High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder, " Remote Sens. Lett., vol. 6, no. 10, pp. 775-783, 2015.
    • (2015) Remote Sens. Lett. , vol.6 , Issue.10 , pp. 775-783
    • Zhou, W.1    Shao, Z.2    Diao, C.3    Cheng, Q.4
  • 18
    • 85019848798 scopus 로고    scopus 로고
    • Learning low dimensional convolutional neural networks for high-resolution remote sensing image retrieval
    • W. Zhou, S. Newsam, C. Li, and Z. Shao, "Learning low dimensional convolutional neural networks for high-resolution remote sensing image retrieval, " Remote Sens., vol. 9, no. 5, pp. 489-508, 2017.
    • (2017) Remote Sens. , vol.9 , Issue.5 , pp. 489-508
    • Zhou, W.1    Newsam, S.2    Li, C.3    Shao, Z.4
  • 19
    • 84977566735 scopus 로고    scopus 로고
    • Local structure learning in high resolution remote sensing image retrieval
    • Sep.
    • Z. Du, X. Li, and X. Lu, "Local structure learning in high resolution remote sensing image retrieval, " Neurocomputing, vol. 207, pp. 813-822, Sep. 2016.
    • (2016) Neurocomputing , vol.207 , pp. 813-822
    • Du, Z.1    Li, X.2    Lu, X.3
  • 20
    • 85019770658 scopus 로고    scopus 로고
    • Content-based high-resolution remote sensing image retrieval via unsupervised feature learning and collaborative affinity metric fusion
    • Y. Li, Y. Zhang, C. Tao, and H. Zhu, "Content-based high-resolution remote sensing image retrieval via unsupervised feature learning and collaborative affinity metric fusion, " Remote Sens., vol. 8, no. 9, pp. 709-723, 2016.
    • (2016) Remote Sens. , vol.8 , Issue.9 , pp. 709-723
    • Li, Y.1    Zhang, Y.2    Tao, C.3    Zhu, H.4
  • 21
    • 84970897366 scopus 로고    scopus 로고
    • Unsupervised multilayer feature learning for satellite image scene classification
    • Feb.
    • Y. Li, C. Tao, Y. Tan, K. Shang, and J. Tian, "Unsupervised multilayer feature learning for satellite image scene classification, " IEEE Geosci. Remote Sens. Lett., vol. 13, no. 2, pp. 157-161, Feb. 2016.
    • (2016) IEEE Geosci. Remote Sens. Lett. , vol.13 , Issue.2 , pp. 157-161
    • Li, Y.1    Tao, C.2    Tan, Y.3    Shang, K.4    Tian, J.5
  • 22
    • 84976497733 scopus 로고    scopus 로고
    • A three-layered graph-based learning approach for remote sensing image retrieval
    • Oct.
    • Y. Wang et al., "A three-layered graph-based learning approach for remote sensing image retrieval, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 10, pp. 6020-6034, Oct. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.10 , pp. 6020-6034
    • Wang, Y.1
  • 23
    • 70349675925 scopus 로고    scopus 로고
    • Fast approximate nearest neighbors with automatic algorithm configuration
    • M. Muja and D. G. Lowe, "Fast approximate nearest neighbors with automatic algorithm configuration, " in Proc. VISAPP Int. Conf. Comput. Vis. Theory Appl., 2009, pp. 331-340.
    • (2009) Proc. VISAPP Int. Conf. Comput. Vis. Theory Appl. , pp. 331-340
    • Muja, M.1    Lowe, D.G.2
  • 24
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets, " Neural Comput., vol. 18, no. 7, pp. 1527-1554, 2006.
    • (2006) Neural Comput. , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 26
    • 84930630277 scopus 로고    scopus 로고
    • Deep learning
    • May
    • Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning, " Nature, vol. 521, pp. 436-444, May 2015.
    • (2015) Nature , vol.521 , pp. 436-444
    • LeCun, Y.1    Bengio, Y.2    Hinton, G.3
  • 29
  • 32
    • 85020105528 scopus 로고    scopus 로고
    • Deep feature fusion for VHR remote sensing scene classification
    • Aug.
    • S. Chaib, H. Liu, Y. Gu, and H. Yao, "Deep feature fusion for VHR remote sensing scene classification, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 8, pp. 4775-4784, Aug. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.8 , pp. 4775-4784
    • Chaib, S.1    Liu, H.2    Gu, Y.3    Yao, H.4
  • 33
    • 85018642692 scopus 로고    scopus 로고
    • AID: A benchmark data set for performance evaluation of aerial scene classification
    • Jul.
    • G.-S. Xia et al., "AID: A benchmark data set for performance evaluation of aerial scene classification, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 7, pp. 3965-3981, Jul. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.7 , pp. 3965-3981
    • Xia, G.-S.1
  • 34
    • 85013301566 scopus 로고    scopus 로고
    • Training deep convolutional neural networks for land-cover classification of high-resolution imagery
    • Apr.
    • G. J. Scott, M. R. England, W. A. Starms, R. A. Marcum, and C. H. Davis, "Training deep convolutional neural networks for land-cover classification of high-resolution imagery, " IEEE Geosci. Remote Sens. Lett., vol. 14, no. 4, pp. 549-553, Apr. 2017.
    • (2017) IEEE Geosci. Remote Sens. Lett. , vol.14 , Issue.4 , pp. 549-553
    • Scott, G.J.1    England, M.R.2    Starms, W.A.3    Marcum, R.A.4    Davis, C.H.5
  • 35
    • 85017152027 scopus 로고    scopus 로고
    • Remote sensing image scene classification: Benchmark and state of the art
    • Oct.
    • G. Cheng, J. Han, and X. Lu, "Remote sensing image scene classification: Benchmark and state of the art, " Proc. IEEE, vol. 105, no. 10, pp. 1865-1883, Oct. 2017.
    • (2017) Proc. IEEE , vol.105 , Issue.10 , pp. 1865-1883
    • Cheng, G.1    Han, J.2    Lu, X.3
  • 37
    • 84978805819 scopus 로고    scopus 로고
    • Deep feature extraction and classification of hyperspectral images based on convolutional neural networks
    • Oct.
    • Y. Chen, H. Jiang, C. Li, X. Jia, and P. Ghamisi, "Deep feature extraction and classification of hyperspectral images based on convolutional neural networks, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 10, pp. 6232-6251, Oct. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.10 , pp. 6232-6251
    • Chen, Y.1    Jiang, H.2    Li, C.3    Jia, X.4    Ghamisi, P.5
  • 38
    • 85021951898 scopus 로고    scopus 로고
    • Deep fully convolutional network-based spatial distribution prediction for hyperspectral image classification
    • Oct.
    • L. Jiao, M. Liang, H. Chen, S. Yang, H. Liu, and X. Cao, "Deep fully convolutional network-based spatial distribution prediction for hyperspectral image classification, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 10, pp. 5585-5599, Oct. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.10 , pp. 5585-5599
    • Jiao, L.1    Liang, M.2    Chen, H.3    Yang, S.4    Liu, H.5    Cao, X.6
  • 39
    • 84997719914 scopus 로고    scopus 로고
    • Polarimetric SAR feature extraction with neighborhood preservation-based deep learning
    • Apr.
    • H. Liu, S. Yang, S. Gou, D. Zhu, R. Wang, and L. Jiao, "Polarimetric SAR feature extraction with neighborhood preservation-based deep learning, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 10, no. 4, pp. 1456-1466, Apr. 2017.
    • (2017) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.10 , Issue.4 , pp. 1456-1466
    • Liu, H.1    Yang, S.2    Gou, S.3    Zhu, D.4    Wang, R.5    Jiao, L.6
  • 40
    • 85010190008 scopus 로고    scopus 로고
    • Deep supervised and contractive neural network for SAR image classification
    • Apr.
    • J. Geng, H. Wang, J. Fan, and X. Ma, "Deep supervised and contractive neural network for SAR image classification, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 4, pp. 2442-2459, Apr. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.4 , pp. 2442-2459
    • Geng, J.1    Wang, H.2    Fan, J.3    Ma, X.4
  • 41
    • 85027047340 scopus 로고    scopus 로고
    • Learning rotation-invariant convo-lutional neural networks for object detection in VHR optical remote sensing images
    • Dec.
    • G. Cheng, P. Zhou, and J. Han, "Learning rotation-invariant convo-lutional neural networks for object detection in VHR optical remote sensing images, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 12, pp. 7405-7415, Dec. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.12 , pp. 7405-7415
    • Cheng, G.1    Zhou, P.2    Han, J.3
  • 42
    • 85010214408 scopus 로고    scopus 로고
    • Accurate object localization in remote sensing images based on convolutional neural networks
    • May
    • Y. Long, Y. Gong, Z. Xiao, and Q. Liu, "Accurate object localization in remote sensing images based on convolutional neural networks, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 5, pp. 2486-2498, May 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.5 , pp. 2486-2498
    • Long, Y.1    Gong, Y.2    Xiao, Z.3    Liu, Q.4
  • 44
    • 78650593938 scopus 로고    scopus 로고
    • Bag-of-visual-words and spatial extensions for land-use classification
    • Y. Yang and S. Newsam, "Bag-of-visual-words and spatial extensions for land-use classification, " in Proc. Int. Conf. Adv. Geogr. Inf. Syst., 2010, pp. 270-279.
    • (2010) Proc. Int. Conf. Adv. Geogr. Inf. Syst. , pp. 270-279
    • Yang, Y.1    Newsam, S.2
  • 46
    • 84898420173 scopus 로고    scopus 로고
    • The devil is in the details: An evaluation of recent feature encoding methods
    • K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman, "The devil is in the details: An evaluation of recent feature encoding methods, " in Proc. Brit. Mach. Vis. Conf., 2014, vol. 2. no. 4.
    • (2014) Proc. Brit. Mach. Vis. Conf. , vol.2 , Issue.4
    • Chatfield, K.1    Simonyan, K.2    Vedaldi, A.3    Zisserman, A.4
  • 48
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope, " Int. J. Comput. Vis., vol. 42, no. 3, pp. 145-175, 2001.
    • (2001) Int. J. Comput. Vis. , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 51
  • 52
    • 84979493625 scopus 로고    scopus 로고
    • Efficient multiple feature fusion with hashing for hyperspectral imagery classification: A comparative study
    • Aug.
    • Z. Zhong, B. Fan, K. Ding, H. Li, S. Xiang, and C. Pan, "Efficient multiple feature fusion with hashing for hyperspectral imagery classification: A comparative study, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 8, pp. 4461-4478, Aug. 2016.
    • (2016) IEEE Trans. Geosci. Remote Sens. , vol.54 , Issue.8 , pp. 4461-4478
    • Zhong, Z.1    Fan, B.2    Ding, K.3    Li, H.4    Xiang, S.5    Pan, C.6
  • 53
    • 85027932133 scopus 로고    scopus 로고
    • Robust feature matching for remote sensing image registration via locally linear transforming
    • Dec.
    • J. Ma, H. Zhou, J. Zhao, Y. Gao, J. Jiang, and J. Tian, "Robust feature matching for remote sensing image registration via locally linear transforming, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 12, pp. 6469-6481, Dec. 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.12 , pp. 6469-6481
    • Ma, J.1    Zhou, H.2    Zhao, J.3    Gao, Y.4    Jiang, J.5    Tian, J.6
  • 54
    • 84881032491 scopus 로고    scopus 로고
    • Regularized vector field learning with sparse approximation for mismatch removal
    • J. Ma, J. Zhao, J. Tian, X. Bai, and Z. Tu, "Regularized vector field learning with sparse approximation for mismatch removal, " Pattern Recognit., vol. 46, no. 12, pp. 3519-3532, 2013.
    • (2013) Pattern Recognit. , vol.46 , Issue.12 , pp. 3519-3532
    • Ma, J.1    Zhao, J.2    Tian, J.3    Bai, X.4    Tu, Z.5
  • 55
    • 84958952372 scopus 로고    scopus 로고
    • Infrared and visible image fusion via gradient transfer and total variation minimization
    • Sep.
    • J. Ma, C. Chen, C. Li, and J. Huang, "Infrared and visible image fusion via gradient transfer and total variation minimization, " Inf. Fusion, vol. 31, pp. 100-109, Sep. 2016.
    • (2016) Inf. Fusion , vol.31 , pp. 100-109
    • Ma, J.1    Chen, C.2    Li, C.3    Huang, J.4
  • 56
    • 84970032173 scopus 로고    scopus 로고
    • Cauchy graph embedding optimization for built-up areas detection from high-resolution remote sensing images
    • May
    • Y. Li, Y. Tan, J. Deng, Q. Wen, and J. Tian, "Cauchy graph embedding optimization for built-up areas detection from high-resolution remote sensing images, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 5, pp. 2078-2096, May 2015.
    • (2015) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.8 , Issue.5 , pp. 2078-2096
    • Li, Y.1    Tan, Y.2    Deng, J.3    Wen, Q.4    Tian, J.5
  • 57
    • 85027919600 scopus 로고    scopus 로고
    • Spatiotemporal detection and analysis of urban villages in mega city regions of China using high-resolution remotely sensed imagery
    • Jul.
    • X. Huang, H. Liu, and L. Zhang, "Spatiotemporal detection and analysis of urban villages in mega city regions of China using high-resolution remotely sensed imagery, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 7, pp. 3639-3657, Jul. 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.7 , pp. 3639-3657
    • Huang, X.1    Liu, H.2    Zhang, L.3
  • 58
    • 85027247537 scopus 로고    scopus 로고
    • Unsupervised deep feature learning for urban village detection from high-resolution remote sensing images
    • Y. Li, X. Huang, and H. Liu, "Unsupervised deep feature learning for urban village detection from high-resolution remote sensing images, " Photogramm. Eng. Remote Sens., vol. 83, no. 8, pp. 567-579, 2017.
    • (2017) Photogramm. Eng. Remote Sens. , vol.83 , Issue.8 , pp. 567-579
    • Li, Y.1    Huang, X.2    Liu, H.3
  • 59
    • 85009844389 scopus 로고    scopus 로고
    • Unsupervised feature learning for land-use scene recognition
    • Apr.
    • J. Fan, T. Chen, and S. Lu, "Unsupervised feature learning for land-use scene recognition, " IEEE Trans. Geosci. Remote Sens., vol. 55, no. 4, pp. 2250-2261, Apr. 2017.
    • (2017) IEEE Trans. Geosci. Remote Sens. , vol.55 , Issue.4 , pp. 2250-2261
    • Fan, J.1    Chen, T.2    Lu, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.