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Volumn 50, Issue 1, 2017, Pages 137-143

Object-based water body extraction model using Sentinel-2 satellite imagery

Author keywords

classification; NDWI; Object based image analysis (OBIA); Sentinel 2; water body extraction

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE SEGMENTATION; PIXELS; REMOTE SENSING; SATELLITE IMAGERY; WATER MANAGEMENT;

EID: 85034777597     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.1080/22797254.2017.1297540     Document Type: Article
Times cited : (187)

References (29)
  • 3
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • Blaschke, T., (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 137–143. doi:10.1016/j.isprsjprs.2009.06.004
    • (2010) ISPRS Journal of Photogrammetry and Remote Sensing , vol.65 , Issue.1 , pp. 137-143
    • Blaschke, T.1
  • 4
    • 0030143460 scopus 로고    scopus 로고
    • SPRING: Integrating remote sensing and GIS by object-oriented data modelling
    • Câmara, G., Souza, R.C.M., Freitas, U.M., & Garrido, J., (1996). SPRING: Integrating remote sensing and GIS by object-oriented data modelling. Computers & Graphics, 20(3), 395–403. doi:10.1016/0097-8493(96)00008-8
    • (1996) Computers & Graphics , vol.20 , Issue.3 , pp. 395-403
    • Câmara, G.1    Souza, R.C.M.2    Freitas, U.M.3    Garrido, J.4
  • 6
    • 80052368202 scopus 로고    scopus 로고
    • Study on information extraction of water body with a new water index (NWI)
    • Ding, F., (2009). Study on information extraction of water body with a new water index (NWI). Science of Surveying and Mapping, 34(4), 155–158.
    • (2009) Science of Surveying and Mapping , vol.34 , Issue.4 , pp. 155-158
    • Ding, F.1
  • 7
    • 84884256674 scopus 로고    scopus 로고
    • Automated water extraction index: A new technique for surface water mapping using Landsat imagery
    • Feyisa, G.L., Meilby, H., Fensholt, R., & Proud, S.R., (2014). Automated water extraction index: A new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment, 140, 23–35. doi:10.1016/j.rse.2013.08.029
    • (2014) Remote Sensing of Environment , vol.140 , pp. 23-35
    • Feyisa, G.L.1    Meilby, H.2    Fensholt, R.3    Proud, S.R.4
  • 8
    • 0142242343 scopus 로고    scopus 로고
    • Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction
    • Flanders, D., Hall-Beyer, M., & Pereverzoff, J., (2003). Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction. Canadian Journal of Remote Sensing, 29(4), 441–452. doi:10.5589/m03-006
    • (2003) Canadian Journal of Remote Sensing , vol.29 , Issue.4 , pp. 441-452
    • Flanders, D.1    Hall-Beyer, M.2    Pereverzoff, J.3
  • 9
    • 85021123581 scopus 로고
    • A normalized difference water index for remote sensing of vegetation liquid water from space
    • Gao, B.C., (1995). A normalized difference water index for remote sensing of vegetation liquid water from space. Imaging Spectrometry, 2480, 225–236. doi:10.1117/12.210877
    • (1995) Imaging Spectrometry , vol.2480 , pp. 225-236
    • Gao, B.C.1
  • 11
    • 84979681536 scopus 로고    scopus 로고
    • Object-based distinction between building shadow and water in high-resolution imagery using fuzzy-rule classification and artificial bee colony optimization
    • He, Y.R., Zhang, X.X., & Hua, L.Z., (2016). Object-based distinction between building shadow and water in high-resolution imagery using fuzzy-rule classification and artificial bee colony optimization. Journal of Sensors, 2016, 1–10. doi:10.1155/2016/2385039
    • (2016) Journal of Sensors , vol.2016 , pp. 1-10
    • He, Y.R.1    Zhang, X.X.2    Hua, L.Z.3
  • 12
    • 0037493771 scopus 로고    scopus 로고
    • A per-segment approach to improving aspen mapping from high-resolution remote sensing imagery
    • Heyman, O., Gaston, G.G., Kimerling, A.J., & Campbell, J.T., (2003). A per-segment approach to improving aspen mapping from high-resolution remote sensing imagery. Journal of Forestry, 101(4), 29–33.
    • (2003) Journal of Forestry , vol.101 , Issue.4 , pp. 29-33
    • Heyman, O.1    Gaston, G.G.2    Kimerling, A.J.3    Campbell, J.T.4
  • 13
    • 85044816751 scopus 로고    scopus 로고
    • New mapping technique for water extraction using NDWI and land surface temperature–water extraction surface temperature index
    • In
    • Kaplan, G., & Avdan, U., (2016). New mapping technique for water extraction using NDWI and land surface temperature–water extraction surface temperature index. In Manuscript submitted for publication.
    • (2016) Manuscript submitted for publication
    • Kaplan, G.1    Avdan, U.2
  • 14
    • 0016882368 scopus 로고
    • Classification of multispectral image data by extraction and classification of homogeneous objects
    • Kettig, R.L., & Landgrebe, D., (1976). Classification of multispectral image data by extraction and classification of homogeneous objects. IEEE Transactions on Geoscience Electronics, 14(1), 19–26. doi:10.1109/TGE.1976.294460
    • (1976) IEEE Transactions on Geoscience Electronics , vol.14 , Issue.1 , pp. 19-26
    • Kettig, R.L.1    Landgrebe, D.2
  • 15
    • 33845801231 scopus 로고    scopus 로고
    • Classification of ponds from high-spatial resolution remote sensing: Application to rift valley fever epidemics in senegal
    • Lacaux, J., Tourre, Y., Vignolles, C., Ndione, J., & Lafaye, M., (2007). Classification of ponds from high-spatial resolution remote sensing: Application to rift valley fever epidemics in senegal. Remote Sensing of Environment, 106(1), 66–74. doi:10.1016/j.rse.2006.07.012
    • (2007) Remote Sensing of Environment , vol.106 , Issue.1 , pp. 66-74
    • Lacaux, J.1    Tourre, Y.2    Vignolles, C.3    Ndione, J.4    Lafaye, M.5
  • 16
    • 84902139241 scopus 로고    scopus 로고
    • Water extraction in high resolution remote sensing image based on hierarchical spectrum and shape features
    • Li, B.Y., Zhang, H., & Xu, F.J., (2014). Water extraction in high resolution remote sensing image based on hierarchical spectrum and shape features. 35th International Symposium on Remote Sensing of Environment 17(Isrse35), 012123. doi:10.1088/1755-1315/17/1/012123
    • (2014) 35th International Symposium on Remote Sensing of Environment , vol.17 , Issue.Isrse35 , pp. 012123
    • Li, B.Y.1    Zhang, H.2    Xu, F.J.3
  • 17
    • 0030136491 scopus 로고    scopus 로고
    • The use of the normalized difference water index (NDWI) in the delineation of open water features
    • McFeeters, S.K., (1996). The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425–1432. doi:10.1080/01431169608948714
    • (1996) International Journal of Remote Sensing , vol.17 , Issue.7 , pp. 1425-1432
    • McFeeters, S.K.1
  • 19
    • 85044838932 scopus 로고    scopus 로고
    • Arianespace successfully launches Europe’s Sentinel-2A earth observation satellite
    • Nowakowski, T., (2015). Arianespace successfully launches Europe’s Sentinel-2A earth observation satellite. In Spaceflight insider. http://www.spaceflightinsider.com/missions/earth-science/arianespace-successfully-launches-europes-sentinel-2a-earth-observation-satellite/
    • (2015) Spaceflight insider
    • Nowakowski, T.1
  • 21
    • 84857832650 scopus 로고    scopus 로고
    • Burned area mapping in greece using SPOT-4 HRVIR images and object-based image analysis
    • Polychronaki, A., & Gitas, I.Z., (2012). Burned area mapping in greece using SPOT-4 HRVIR images and object-based image analysis. Remote Sensing, 4(2), 424–438. doi:10.3390/rs4020424
    • (2012) Remote Sensing , vol.4 , Issue.2 , pp. 424-438
    • Polychronaki, A.1    Gitas, I.Z.2
  • 22
    • 3242777678 scopus 로고    scopus 로고
    • Reducing signature variability in unmixing coastal marsh thematic mapper scenes using spectral indices
    • Rogers, A.S., & Kearney, M.S., (2004). Reducing signature variability in unmixing coastal marsh thematic mapper scenes using spectral indices. International Journal of Remote Sensing, 25(12), 2317–2335. doi:10.1080/01431160310001618103
    • (2004) International Journal of Remote Sensing , vol.25 , Issue.12 , pp. 2317-2335
    • Rogers, A.S.1    Kearney, M.S.2
  • 23
    • 0029731006 scopus 로고    scopus 로고
    • Combining spectral and texture data in the segmentation of remotely sensed images
    • Ryherd, S., & Woodcock, C., (1996). Combining spectral and texture data in the segmentation of remotely sensed images. Photogrammetric Engineering and Remote Sensing, 62(2), 181–194.
    • (1996) Photogrammetric Engineering and Remote Sensing , vol.62 , Issue.2 , pp. 181-194
    • Ryherd, S.1    Woodcock, C.2
  • 24
  • 25
    • 80052363062 scopus 로고    scopus 로고
    • A study on information extraction of water body using bandl and band7 of TM imagery
    • Xiao, Y., Zhao, W., & Zhu, L., (2010). A study on information extraction of water body using bandl and band7 of TM imagery. Science of Surveying and Mapping, 35, 226–227,216.
    • (2010) Science of Surveying and Mapping , vol.35 , pp. 226-227,216
    • Xiao, Y.1    Zhao, W.2    Zhu, L.3
  • 26
    • 33747136902 scopus 로고    scopus 로고
    • Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
    • Xu, H.Q., (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 27(14), 3025–3033. doi:10.1080/01431160600589179
    • (2006) International Journal of Remote Sensing , vol.27 , Issue.14 , pp. 3025-3033
    • Xu, H.Q.1
  • 27
    • 78651437622 scopus 로고    scopus 로고
    • A study on information extraction of water enhanced water index (EWI) and GIS system in semi-arid regions with the based noise remove techniques
    • Yan, P., Zhang, Y., & Zhang, Y., (2007). A study on information extraction of water enhanced water index (EWI) and GIS system in semi-arid regions with the based noise remove techniques. Remote sensing information (pp. 62–67).
    • (2007) Remote sensing information , pp. 62-67
    • Yan, P.1    Zhang, Y.2    Zhang, Y.3
  • 28
    • 33745615125 scopus 로고    scopus 로고
    • Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery
    • Yu, Q., Gong, P., Clinton, N., Biging, G., Kelly, M., & Schirokauer, D., (2006). Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. Photogrammetric Engineering & Remote Sensing, 72(7), 799–811. doi:10.14358/PERS.72.7.799
    • (2006) Photogrammetric Engineering & Remote Sensing , vol.72 , Issue.7 , pp. 799-811
    • Yu, Q.1    Gong, P.2    Clinton, N.3    Biging, G.4    Kelly, M.5    Schirokauer, D.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.