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Volumn 7, Issue 10, 2014, Pages 4301-4312

Multiscale water body extraction in urban environments from satellite images

Author keywords

ALOS AVNIR 2; Multiscale extraction; Spectral mixture analysis; Terra ASTER; Urban water body

Indexed keywords

IMAGE PROCESSING; IMAGE SEGMENTATION; ITERATIVE METHODS; MIXTURES; PIXELS; REMOTE SENSING; URBAN PLANNING;

EID: 84920202531     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2360436     Document Type: Article
Times cited : (86)

References (49)
  • 1
    • 0342981446 scopus 로고    scopus 로고
    • The storage and aging of continental runoff in large reservoir systems of the World
    • J. Marble and J. A. Lough, "The storage and aging of continental runoff in large reservoir systems of the World," Ambio, vol. 26, no. 4, pp. 210-219, 1997.
    • (1997) Ambio , vol.26 , Issue.4 , pp. 210-219
    • Marble, J.1    Lough, J.A.2
  • 2
    • 31344460092 scopus 로고    scopus 로고
    • Regional and global concerns over wetlands and water quality
    • J. T. A. Verhoeven et al., "Regional and global concerns over wetlands and water quality," Trends Ecol. Evol., vol. 21, no. 2, pp. 96-103, 2006.
    • (2006) Trends Ecol. Evol. , vol.21 , Issue.2 , pp. 96-103
    • Verhoeven, J.T.A.1
  • 3
    • 77954533368 scopus 로고    scopus 로고
    • Land use and land cover classification in the irrigated Indus Basin using growth phenology information from satellite data to support water management analysis
    • M. J. M. Cheema and W. G. M. Bastiaanssen, "Land use and land cover classification in the irrigated Indus Basin using growth phenology information from satellite data to support water management analysis," Agric. Water Manage., vol. 97, no. 10, pp. 1541-1552, 2010.
    • (2010) Agric. Water Manage. , vol.97 , Issue.10 , pp. 1541-1552
    • Cheema, M.J.M.1    Bastiaanssen, W.G.M.2
  • 4
    • 13644275823 scopus 로고    scopus 로고
    • Closing the circle: Linking land use planning and water management at the local level
    • N. Carter, R. D. Kreutzwiser, and R. C. de Loë, "Closing the circle: Linking land use planning and water management at the local level," Land Use Policy, vol. 22, no. 2, pp. 115-127, 2005.
    • (2005) Land Use Policy , vol.22 , Issue.2 , pp. 115-127
    • Carter, N.1    Kreutzwiser, R.D.2    De Loë, R.C.3
  • 5
    • 77951729909 scopus 로고    scopus 로고
    • Remote sensing and avian influenza: A review of image processing methods for extracting key variables affecting avian influenza virus survival in water from Earth Observation satellites
    • A. Tran et al., "Remote sensing and avian influenza: A review of image processing methods for extracting key variables affecting avian influenza virus survival in water from Earth Observation satellites," Int. J. Appl. Earth Observ. Geoinf., vol. 12, no. 1, pp. 1-8, 2010.
    • (2010) Int. J. Appl. Earth Observ. Geoinf. , vol.12 , Issue.1 , pp. 1-8
    • Tran, A.1
  • 6
    • 84857444123 scopus 로고    scopus 로고
    • How can urban water bodies be designed for climate adaptation?
    • R. Sun and L. Chen, "How can urban water bodies be designed for climate adaptation?" Landscape Urban Plann., vol. 105, no. 1, pp. 27-33, 2012.
    • Landscape Urban Plann. , vol.105 , Issue.1 , pp. 27-33+2012
    • Sun, R.1    Chen, L.2
  • 7
    • 74149087257 scopus 로고    scopus 로고
    • Spatial impact of urban expansion on surface water bodies - A case study of Wuhan, China
    • N. Du, H. Ottens, and R. Sliuzas, "Spatial impact of urban expansion on surface water bodies - A case study of Wuhan, China," Landscape Urban Plann., vol. 94, no. 3, pp. 175-185, 2010.
    • (2010) Landscape Urban Plann. , vol.94 , Issue.3 , pp. 175-185
    • Du, N.1    Ottens, H.2    Sliuzas, R.3
  • 8
    • 84880647767 scopus 로고    scopus 로고
    • Presence of enteroviruses in recreational water in Wuhan, China
    • E. Allmann et al., "Presence of enteroviruses in recreational water in Wuhan, China," J. Virol. Methods, vol. 193, no. 2, pp. 327-331, 2013.
    • J. Virol. Methods , vol.193 , Issue.2 , pp. 327-331+2013
    • Allmann, E.1
  • 9
    • 0030136491 scopus 로고    scopus 로고
    • The use of the normalized difference water index (NDWI) in the delineation of open water features
    • S. K. McFeeters, "The use of the normalized difference water index (NDWI) in the delineation of open water features," Int. J. Remote Sens., vol. 17, no. 7, pp. 1425-1432, 1996.
    • (1996) Int. J. Remote Sens. , vol.17 , Issue.7 , pp. 1425-1432
    • McFeeters, S.K.1
  • 10
    • 84863574914 scopus 로고    scopus 로고
    • Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery
    • F. Sun et al., "Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery," Int. J. Remote Sens., vol. 33, no. 21, pp. 6854-6875, 2012.
    • Int. J. Remote Sens. , vol.33 , Issue.21 , pp. 6854-6875+2012
    • Sun, F.1
  • 11
    • 33747136902 scopus 로고    scopus 로고
    • Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
    • H. Xu, "Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery," Int. J. Remote Sens., vol. 27, no. 14, pp. 3025-3033, 2006.
    • (2006) Int. J. Remote Sens. , vol.27 , Issue.14 , pp. 3025-3033
    • Xu, H.1
  • 12
    • 52649153127 scopus 로고    scopus 로고
    • Modelling spatial-temporal change of Poyang Lake using multitemporal Landsat imagery
    • F. Hui et al., "Modelling spatial-temporal change of Poyang Lake using multitemporal Landsat imagery," Int. J. Remote Sens., vol. 29, no. 20, pp. 5767-5784, 2008.
    • (2008) Int. J. Remote Sens. , vol.29 , Issue.20 , pp. 5767-5784
    • Hui, F.1
  • 13
    • 0037934720 scopus 로고    scopus 로고
    • Information fusion for rural land-use classification with high-resolution satellite imagery
    • Apr.
    • W. Sun et al., "Information fusion for rural land-use classification with high-resolution satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 4, pp. 883-890, Apr. 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , Issue.4 , pp. 883-890
    • Sun, W.1
  • 14
    • 37549004391 scopus 로고    scopus 로고
    • Multispectral landuse classification using neural networks and support vector machines: One or the other, or both?
    • B. Dixon and N. Candade, "Multispectral landuse classification using neural networks and support vector machines: One or the other, or both?" Int. J. Remote Sens., vol. 29, no. 4, pp. 1185-1206, 2008.
    • (2008) Int. J. Remote Sens. , vol.29 , Issue.4 , pp. 1185-1206
    • Dixon, B.1    Candade, N.2
  • 15
    • 82655178425 scopus 로고    scopus 로고
    • A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data
    • Z. Qi et al., "A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data," Remote Sens. Environ., vol. 118, pp. 21-39, 2012.
    • (2012) Remote Sens. Environ. , vol.118 , pp. 21-39
    • Qi, Z.1
  • 16
    • 0023163683 scopus 로고
    • Fast maximum likelihood classification of remotely-sensed imagery
    • J. J. Settle and S. A. Briggs, "Fast maximum likelihood classification of remotely-sensed imagery," Int. J. Remote Sens., vol. 8, no. 5, pp. 723-734, 1987.
    • (1987) Int. J. Remote Sens. , vol.8 , Issue.5 , pp. 723-734
    • Settle, J.J.1    Briggs, S.A.2
  • 17
    • 0029341018 scopus 로고
    • A detailed comparison of back-propagation neural network and maximum-likelihood classifiers for urban land use classification
    • Jul.
    • J. D. Paola and R. A. Schowengerdt, "A detailed comparison of back-propagation neural network and maximum-likelihood classifiers for urban land use classification," IEEE Trans. Geosci. Remote Sens., vol. 33, no. 4, pp. 981-996, Jul. 1995.
    • (1995) IEEE Trans. Geosci. Remote Sens. , vol.33 , Issue.4 , pp. 981-996
    • Paola, J.D.1    Schowengerdt, R.A.2
  • 18
    • 0346245214 scopus 로고    scopus 로고
    • The use of backpropagating artificial neural networks in land cover classification
    • T. Kavzoglu and P. M. Mather, "The use of backpropagating artificial neural networks in land cover classification," Int. J. Remote Sens., vol. 24, no. 23, pp. 4907-4938, 2003.
    • (2003) Int. J. Remote Sens. , vol.24 , Issue.23 , pp. 4907-4938
    • Kavzoglu, T.1    Mather, P.M.2
  • 19
    • 34547134220 scopus 로고    scopus 로고
    • Detailed mapping of a salt farm from Landsat TM imagery using neural network and maximum likelihood classifiers: A comparison
    • Y. Zhang, J. Gao, and J. Wang, "Detailed mapping of a salt farm from Landsat TM imagery using neural network and maximum likelihood classifiers: A comparison," Int. J. Remote Sens., vol. 28, no. 10, pp. 2077-2089, 2007.
    • (2007) Int. J. Remote Sens. , vol.28 , Issue.10 , pp. 2077-2089
    • Zhang, Y.1    Gao, J.2    Wang, J.3
  • 20
    • 0037138473 scopus 로고    scopus 로고
    • An assessment of support vector machines for land cover classification
    • C. Huang, L. S. Davis, and J. R. G. Townshend, "An assessment of support vector machines for land cover classification," Int. J. Remote Sens., vol. 23, no. 4, pp. 725-749, 2002.
    • (2002) Int. J. Remote Sens. , vol.23 , Issue.4 , pp. 725-749
    • Huang, C.1    Davis, L.S.2    Townshend, J.R.G.3
  • 21
    • 0036113847 scopus 로고    scopus 로고
    • Classification using ASTER data and SVM algorithms: The case study of Beer Sheva, Israel
    • G. Zhu and D. G. Blumberg, "Classification using ASTER data and SVM algorithms: The case study of Beer Sheva, Israel," Remote Sens. Environ., vol. 80, no. 2, pp. 233-240, 2002.
    • (2002) Remote Sens. Environ. , vol.80 , Issue.2 , pp. 233-240
    • Zhu, G.1    Blumberg, D.G.2
  • 22
    • 13644256120 scopus 로고    scopus 로고
    • Support vector machines for classification in remote sensing
    • M. Pal and P. M. Mather, "Support vector machines for classification in remote sensing," Int. J. Remote Sens., vol. 26, no. 5, pp. 1007-1011, 2005.
    • (2005) Int. J. Remote Sens. , vol.26 , Issue.5 , pp. 1007-1011
    • Pal, M.1    Mather, P.M.2
  • 23
    • 84857004904 scopus 로고    scopus 로고
    • Comparison of artificial neural networks and support vector machine classifiers for land cover classification in Northern China using a SPOT-5 HRG image
    • X. Song, Z. Duan, and X. Jiang, "Comparison of artificial neural networks and support vector machine classifiers for land cover classification in Northern China using a SPOT-5 HRG image," Int. J. Remote Sens., vol. 33, no. 10, pp. 3301-3320, 2012.
    • (2012) Int. J. Remote Sens. , vol.33 , Issue.10 , pp. 3301-3320
    • Song, X.1    Duan, Z.2    Jiang, X.3
  • 24
    • 47849112807 scopus 로고    scopus 로고
    • Automated image registration for hydrologic change detection in the lake-rich Arctic
    • Jul.
    • Y. Sheng, C. A. Shah, and L. C. Smith, "Automated image registration for hydrologic change detection in the lake-rich Arctic," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 414-418, Jul. 2008.
    • (2008) IEEE Geosci. Remote Sens. Lett. , vol.5 , Issue.3 , pp. 414-418
    • Sheng, Y.1    Shah, C.A.2    Smith, L.C.3
  • 25
    • 78650903054 scopus 로고    scopus 로고
    • An artificial immune network approach to multi-sensor land use/land cover classification
    • B. Gong, J. Im, and G. Mountrakis, "An artificial immune network approach to multi-sensor land use/land cover classification," Remote Sens. Environ., vol. 115, no. 2, pp. 600-614, 2011.
    • (2011) Remote Sens. Environ. , vol.115 , Issue.2 , pp. 600-614
    • Gong, B.1    Im, J.2    Mountrakis, G.3
  • 26
    • 84880362774 scopus 로고    scopus 로고
    • A self-trained semisupervised SVM approach to the remote sensing land cover classification
    • Y. Liu et al., "A self-trained semisupervised SVM approach to the remote sensing land cover classification," Comput. Geosci., vol. 59, pp. 98-107, 2013.
    • (2013) Comput. Geosci. , vol.59 , pp. 98-107
    • Liu, Y.1
  • 27
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • T. Blaschke, "Object based image analysis for remote sensing," ISPRS J. Photogramm. Remote Sens., vol. 65, no. 1, pp. 2-16, 2010.
    • (2010) ISPRS J. Photogramm. Remote Sens. , vol.65 , Issue.1 , pp. 2-16
    • Blaschke, T.1
  • 28
    • 67651084257 scopus 로고    scopus 로고
    • Object-based image analysis: Strengths, weaknesses, opportunities and threats (SWOT)
    • G. J. Hay and G. Castilla, "Object-based image analysis: Strengths, weaknesses, opportunities and threats (SWOT)," in Proc. 1st Int. Conf. OBIA, 2006, pp. 4-5.
    • Proc. 1st Int. Conf. OBIA, 2006 , pp. 4-5
    • Hay, G.J.1    Castilla, G.2
  • 29
    • 22644441691 scopus 로고    scopus 로고
    • Satellite remote sensing classification of thaw lakes and drained thaw lake basins on the North Slope of Alaska
    • R. C. Frohn, K. M. Hinkel, and W. R. Eisner, "Satellite remote sensing classification of thaw lakes and drained thaw lake basins on the North Slope of Alaska," Remote Sens. Environ., vol. 97, no. 1, pp. 116-126, 2005.
    • (2005) Remote Sens. Environ. , vol.97 , Issue.1 , pp. 116-126
    • Frohn, R.C.1    Hinkel, K.M.2    Eisner, W.R.3
  • 30
    • 79960061887 scopus 로고    scopus 로고
    • Object-based urban detailed land cover classification with high spatial resolution IKONOS imagery
    • R. Pu, S. Landry, and Q. Yu, "Object-based urban detailed land cover classification with high spatial resolution IKONOS imagery," Int. J. Remote Sens., vol. 32, no. 12, pp. 3285-3308, 2011.
    • (2011) Int. J. Remote Sens. , vol.32 , Issue.12 , pp. 3285-3308
    • Pu, R.1    Landry, S.2    Yu, Q.3
  • 31
    • 79955383550 scopus 로고    scopus 로고
    • Assessing object-based classification: Advantages and limitations
    • D. Lu and F. Xia, "Assessing object-based classification: Advantages and limitations," Remote Sens. Lett., vol. 1, no. 4, pp. 187-194, 2010.
    • (2010) Remote Sens. Lett. , vol.1 , Issue.4 , pp. 187-194
    • Lu, D.1    Xia, F.2
  • 32
    • 84863082224 scopus 로고    scopus 로고
    • Automatic shoreline extraction from high-resolution IKONOS satellite imagery
    • K. Di et al., "Automatic shoreline extraction from high-resolution IKONOS satellite imagery," Earth Observ. Mag., vol. 12, no. 7, pp. 14-18, 2003.
    • (2003) Earth Observ. Mag. , vol.12 , Issue.7 , pp. 14-18
  • 33
    • 75949128878 scopus 로고    scopus 로고
    • Improvements in mapping water bodies using ASTER data
    • R. Sivanpillai and S. N. Miller, "Improvements in mapping water bodies using ASTER data," Ecol. Informat., vol. 5, no. 1, pp. 73-78, 2010.
    • (2010) Ecol. Informat. , vol.5 , Issue.1 , pp. 73-78
    • Sivanpillai, R.1    Miller, S.N.2
  • 34
    • 77951809831 scopus 로고    scopus 로고
    • Monitoring the change of urban wetland using high spatial resolution remote sensing data
    • H. Zhou et al., "Monitoring the change of urban wetland using high spatial resolution remote sensing data," Int. J. Remote Sens., vol. 31, no. 7, pp. 1717-1731, 2010.
    • (2010) Int. J. Remote Sens. , vol.31 , Issue.7 , pp. 1717-1731
    • Zhou, H.1
  • 35
    • 77951132822 scopus 로고    scopus 로고
    • Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: Object-based and knowledge-based approach
    • Y. Ban, H. Hu, and I. M. Rangel, "Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: Object-based and knowledge-based approach," Int. J. Remote Sens., vol. 31, no. 6, pp. 1391-1410, 2010.
    • (2010) Int. J. Remote Sens. , vol.31 , Issue.6 , pp. 1391-1410
    • Ban, Y.1    Hu, H.2    Rangel, I.M.3
  • 36
    • 79952070569 scopus 로고    scopus 로고
    • Per-pixel vs. Object-based classification of urban land cover extraction using high spatial resolution imagery
    • S.W. Myint et al., "Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery," Remote Sens. Environ., vol. 115, no. 5, pp. 1145-1161, 2011.
    • (2011) Remote Sens. Environ. , vol.115 , Issue.5 , pp. 1145-1161
    • Myint, S.W.1
  • 37
    • 0022267717 scopus 로고
    • Performance comparison between information extraction techniques using variable spatial resolution data
    • R. S. Latty et al., "Performance comparison between information extraction techniques using variable spatial resolution data," Photogramm. Eng. Remote Sens., vol. 51, pp. 1459-1470, 1985.
    • (1985) Photogramm. Eng. Remote Sens. , vol.51 , pp. 1459-1470
    • Latty, R.S.1
  • 38
    • 0035696907 scopus 로고    scopus 로고
    • Effect of spatial resolution on classification errors of pure and mixed pixels in remote sensing
    • Dec.
    • P.-F. Hsieh, L. C. Lee, and N.-Y. Chen, "Effect of spatial resolution on classification errors of pure and mixed pixels in remote sensing," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 12, pp. 2657-2663, Dec. 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens. , vol.39 , Issue.12 , pp. 2657-2663
    • Hsieh, P.-F.1    Lee, L.C.2    Chen, N.-Y.3
  • 39
    • 57749084501 scopus 로고    scopus 로고
    • Specific absorption coefficient and the phytoplankton package effect in Lake Taihu, China
    • C. Le et al., "Specific absorption coefficient and the phytoplankton package effect in Lake Taihu, China," Hydrobiologia, vol. 619, no. 1, pp. 27-37, 2009.
    • (2009) Hydrobiologia , vol.619 , Issue.1 , pp. 27-37
  • 40
    • 34548446703 scopus 로고    scopus 로고
    • A study of absorption characteristics of chromophoric dissolved organic matter and particles in Lake Taihu, China
    • Y. Zhang et al., "A study of absorption characteristics of chromophoric dissolved organic matter and particles in Lake Taihu, China," Hydrobiologia, vol. 592, no. 1, pp. 105-120, 2007.
    • (2007) Hydrobiologia , vol.592 , Issue.1 , pp. 105-120
    • Zhang, Y.1
  • 41
    • 85027952549 scopus 로고    scopus 로고
    • An approach based on constrained nonnegative matrix factorization to unmix hyperspectral data
    • Feb.
    • X. Liu et al., "An approach based on constrained nonnegative matrix factorization to unmix hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 2, pp. 757-772, Feb. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.2 , pp. 757-772
    • Liu, X.1
  • 42
    • 84861310732 scopus 로고    scopus 로고
    • Constrained nonnegative matrix factorization for image representation
    • Jul.
    • H. Liu et al., "Constrained nonnegative matrix factorization for image representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 7, pp. 1299-1311, Jul. 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.7 , pp. 1299-1311
    • Liu, H.1
  • 43
    • 33847733865 scopus 로고    scopus 로고
    • Endmember extraction from highly mixed data using minimum volume constrained nonnegative matrix factorization
    • Mar.
    • L. Miao and H. Qi, "Endmember extraction from highly mixed data using minimum volume constrained nonnegative matrix factorization," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 3, pp. 765-777, Mar. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.3 , pp. 765-777
    • Miao, L.1    Qi, H.2
  • 44
    • 49349108623 scopus 로고
    • A threshold selection method from gray-level histograms
    • N. Otsu, "A threshold selection method from gray-level histograms," Automatica, vol. 11, no. 285-296, pp. 23-27, 1975.
    • (1975) Automatica , vol.11 , Issue.285-296 , pp. 23-27
    • Otsu, N.1
  • 45
    • 0022523996 scopus 로고
    • Minimum error thresholding
    • J. Kittler and J. Illingworth, "Minimum error thresholding," Pattern Recognit., vol. 19, no. 1, pp. 41-47, 1986.
    • (1986) Pattern Recognit. , vol.19 , Issue.1 , pp. 41-47
    • Kittler, J.1    Illingworth, J.2
  • 46
    • 0022266928 scopus 로고
    • A new method for gray-level picture thresholding using the entropy of the histogram
    • J. N. Kapur, P. K. Sahoo, and A. K. C. Wong, "A new method for gray-level picture thresholding using the entropy of the histogram," Comput. Vision Graphics Image Process., vol. 29, no. 3, pp. 273-285, 1985.
    • (1985) Comput. Vision Graphics Image Process. , vol.29 , Issue.3 , pp. 273-285
    • Kapur, J.N.1    Sahoo, P.K.2    Wong, A.K.C.3
  • 47
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques and quantitative performance evaluation
    • M. Sezgin, "Survey over image thresholding techniques and quantitative performance evaluation," J. Electron. Imag., vol. 13, no. 1, pp. 146-168, 2004.
    • (2004) J. Electron. Imag. , vol.13 , Issue.1 , pp. 146-168
    • Sezgin, M.1
  • 48
    • 0036213079 scopus 로고    scopus 로고
    • Status of land cover classification accuracy assessment
    • G. M. Foody, "Status of land cover classification accuracy assessment," Remote Sens. Environ., vol. 80, no. 1, pp. 185-201, 2002.
    • (2002) Remote Sens. Environ. , vol.80 , Issue.1 , pp. 185-201
    • Foody, G.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.