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Volumn 104, Issue , 2015, Pages 213-223

Applying data fusion techniques for benthic habitat mapping and monitoring in a coral reef ecosystem

Author keywords

Benthic habitat mapping; Coral reef ecosystem; Data fusion; Hyperspectral imagery; Machine learning; Object based image analysis

Indexed keywords

AERIAL PHOTOGRAPHY; ARTIFICIAL INTELLIGENCE; BATHYMETRY; DATA FUSION; DATA HANDLING; DECISION TREES; ECOLOGY; IMAGE ANALYSIS; IMAGE FUSION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAPPING; NEAREST NEIGHBOR SEARCH; PHOTOGRAPHIC EQUIPMENT; PHOTOGRAPHY; REEFS; REMOTE SENSING; SPECTROSCOPY;

EID: 84939415665     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.06.005     Document Type: Article
Times cited : (95)

References (49)
  • 2
    • 41449111250 scopus 로고    scopus 로고
    • Mapping the distribution of coral reefs and associated sublittoral habitats in Pacific Panama: a comparison of optical satellite sensors and classification methodologies
    • Benfield S.L., Guzman H.M., Mair J.M., Young J.A.T. Mapping the distribution of coral reefs and associated sublittoral habitats in Pacific Panama: a comparison of optical satellite sensors and classification methodologies. Int. J. Remote Sens. 2007, 28:5047-5070.
    • (2007) Int. J. Remote Sens. , vol.28 , pp. 5047-5070
    • Benfield, S.L.1    Guzman, H.M.2    Mair, J.M.3    Young, J.A.T.4
  • 3
    • 84939415173 scopus 로고    scopus 로고
    • Benthic habitats of the Florida Keys
    • (accessed 17 04 13).
    • Benthic habitats of the Florida Keys, (accessed 17 04 13). http://www.flkeysbenthicmaps.noaa.gov/.
  • 6
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • Blaschke T. Object based image analysis for remote sensing. ISPRS J. Photogrammetry Remote Sens. 2010, 65:2-16.
    • (2010) ISPRS J. Photogrammetry Remote Sens. , vol.65 , pp. 2-16
    • Blaschke, T.1
  • 7
    • 84872873773 scopus 로고    scopus 로고
    • Increased spectral resolution enhances coral detection under varying water conditions
    • Botha E.J., Brando V.E., Anstee J.M., Dekker A.G., Sagar S. Increased spectral resolution enhances coral detection under varying water conditions. Remote Sens. Environ. 2013, 131:247-261.
    • (2013) Remote Sens. Environ. , vol.131 , pp. 247-261
    • Botha, E.J.1    Brando, V.E.2    Anstee, J.M.3    Dekker, A.G.4    Sagar, S.5
  • 8
  • 9
    • 43949125818 scopus 로고    scopus 로고
    • Evaluation of random forest and Adaboost tree based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery
    • Chan J.C.-W., Paelinckx D. Evaluation of random forest and Adaboost tree based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery. Remote Sens. Environ. 2008, 112:2999-3011.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 2999-3011
    • Chan, J.C.-W.1    Paelinckx, D.2
  • 12
    • 84860267020 scopus 로고    scopus 로고
    • Multiple classifier system for remote sensing image classification: a review
    • Du P., Xia J., Zhang W., Tan K., Liu Y., Liu S. Multiple classifier system for remote sensing image classification: a review. Sensors 2012, 12:4764-4792.
    • (2012) Sensors , vol.12 , pp. 4764-4792
    • Du, P.1    Xia, J.2    Zhang, W.3    Tan, K.4    Liu, Y.5    Liu, S.6
  • 15
    • 84939415684 scopus 로고    scopus 로고
    • (accessed on 17. 04. 13)
    • Florida Keys National Marine Sanctuary (FKNMS), (accessed on 17. 04. 13). http://www.floridakeys.noaa.gov/.
  • 16
    • 3042661357 scopus 로고    scopus 로고
    • Thematic map comparison, evaluating the statistical significance of differences in classification accuracy
    • Foody G.M. Thematic map comparison, evaluating the statistical significance of differences in classification accuracy. Photogrammetric Eng. Remote Sens. 2004, 70:627-633.
    • (2004) Photogrammetric Eng. Remote Sens. , vol.70 , pp. 627-633
    • Foody, G.M.1
  • 18
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
    • Green A.A., Berman M., Switzer P., Craig M.D. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Trans. Geosci. Remote Sens. 1988, 26:65-74.
    • (1988) IEEE Trans. Geosci. Remote Sens. , vol.26 , pp. 65-74
    • Green, A.A.1    Berman, M.2    Switzer, P.3    Craig, M.D.4
  • 20
    • 14644421528 scopus 로고    scopus 로고
    • Investigation of the random forest framework for classification of hyperspectral data
    • Ham J., Chen Y., Crawford M.M., Ghosh J. Investigation of the random forest framework for classification of hyperspectral data. IEEE Trans. Geosci. Remote Sens. 2005, 43:492-501.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , pp. 492-501
    • Ham, J.1    Chen, Y.2    Crawford, M.M.3    Ghosh, J.4
  • 21
    • 0028576592 scopus 로고
    • Parametric and nearest-neighbor methods for hybrid classification: a comparison of pixel assignment accuracy
    • Hardin P.J. Parametric and nearest-neighbor methods for hybrid classification: a comparison of pixel assignment accuracy. Photogrammetric Eng. Remote Sens. 1994, 60:1439-1448.
    • (1994) Photogrammetric Eng. Remote Sens. , vol.60 , pp. 1439-1448
    • Hardin, P.J.1
  • 23
    • 0037138473 scopus 로고    scopus 로고
    • An assessment of support vector machines for land cover classification
    • Huang C., Davis L.S., Townshend J.R.G. An assessment of support vector machines for land cover classification. Int. J. Remote Sens. 2002, 23:725-749.
    • (2002) Int. J. Remote Sens. , vol.23 , pp. 725-749
    • Huang, C.1    Davis, L.S.2    Townshend, J.R.G.3
  • 24
    • 79957819255 scopus 로고    scopus 로고
    • Unsupervised image segmentation evaluation and refinement using a multi-scale approach
    • Johnson B., Xie Z. Unsupervised image segmentation evaluation and refinement using a multi-scale approach. ISPRS J. Photogrammetry Remote Sens. 2011, 66:473-483.
    • (2011) ISPRS J. Photogrammetry Remote Sens. , vol.66 , pp. 473-483
    • Johnson, B.1    Xie, Z.2
  • 25
    • 0017360990 scopus 로고
    • The measurement of observer agreement for categorical data
    • Landis J., Koch G.G. The measurement of observer agreement for categorical data. Biometics 1977, 33:159-174.
    • (1977) Biometics , vol.33 , pp. 159-174
    • Landis, J.1    Koch, G.G.2
  • 26
    • 37249004461 scopus 로고    scopus 로고
    • Bathymetry, water optical properties, and benthic classification of coral reefs using hyperspectral remote sensing imagery
    • 819-819
    • Lesser M.P., Mobley C.D. Bathymetry, water optical properties, and benthic classification of coral reefs using hyperspectral remote sensing imagery. Coral Reefs 2007, 26. 819-819.
    • (2007) Coral Reefs , vol.26
    • Lesser, M.P.1    Mobley, C.D.2
  • 27
    • 33748503184 scopus 로고    scopus 로고
    • Benthic habitat mapping in tropical marine environments using QuickBird multispectral data
    • Mishra D., Narumalani S., Rundquist D., Lawson M. Benthic habitat mapping in tropical marine environments using QuickBird multispectral data. Photogrammetric Eng. Remote Sens. 2006, 72:1037-1048.
    • (2006) Photogrammetric Eng. Remote Sens. , vol.72 , pp. 1037-1048
    • Mishra, D.1    Narumalani, S.2    Rundquist, D.3    Lawson, M.4
  • 28
    • 35348974659 scopus 로고    scopus 로고
    • Enhancing the detection and classification of coral reef and associated benthic habitats: a hyperspectral remote sensing approach
    • Mishra D., Narumalani S., Rundquist D., Lawson M., Perk R. Enhancing the detection and classification of coral reef and associated benthic habitats: a hyperspectral remote sensing approach. J. Geophys. Res. 2007, 112:C08014. 10.1029/2006JC003892.
    • (2007) J. Geophys. Res. , vol.112 , pp. C08014
    • Mishra, D.1    Narumalani, S.2    Rundquist, D.3    Lawson, M.4    Perk, R.5
  • 31
    • 0036789607 scopus 로고    scopus 로고
    • Mapping marine environments with IKONOS imagery: enhanced spatial resolution does deliver greater thematic accuracy
    • Mumby P.J., Edwards A.J. Mapping marine environments with IKONOS imagery: enhanced spatial resolution does deliver greater thematic accuracy. Remote Sens. Environ. 2002, 82:248-257.
    • (2002) Remote Sens. Environ. , vol.82 , pp. 248-257
    • Mumby, P.J.1    Edwards, A.J.2
  • 32
    • 45649085650 scopus 로고    scopus 로고
    • Mapping seagrass species, cover and biomass in shallow waters: an assessment of satellite multispectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia)
    • Phinn S., Roelfsema C., Dekker A., Brando V., Anstee J. Mapping seagrass species, cover and biomass in shallow waters: an assessment of satellite multispectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia). Remote Sens. Environ. 2008, 112:3413-3425.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 3413-3425
    • Phinn, S.1    Roelfsema, C.2    Dekker, A.3    Brando, V.4    Anstee, J.5
  • 33
    • 84857012828 scopus 로고    scopus 로고
    • Multi-scale, object-based image analysis for mapping geomorphic and ecological zones on coral reefs
    • Phinn S.R., Roelfsema C.M., Mumby P.J. Multi-scale, object-based image analysis for mapping geomorphic and ecological zones on coral reefs. Int. J. Remote Sens. 2012, 33:3768-3797.
    • (2012) Int. J. Remote Sens. , vol.33 , pp. 3768-3797
    • Phinn, S.R.1    Roelfsema, C.M.2    Mumby, P.J.3
  • 34
    • 84870383810 scopus 로고    scopus 로고
    • Mapping and assessing seagrass along the western coast of Florida using Landsat TM and EO-1 ALI/Hyperion imagery
    • Pu R., Bell S., Meyer C., Baggett L., Zhao Y. Mapping and assessing seagrass along the western coast of Florida using Landsat TM and EO-1 ALI/Hyperion imagery. Estuar. Coast. Shelf Sci. 2012, 115:234-245.
    • (2012) Estuar. Coast. Shelf Sci. , vol.115 , pp. 234-245
    • Pu, R.1    Bell, S.2    Meyer, C.3    Baggett, L.4    Zhao, Y.5
  • 35
    • 63949083120 scopus 로고    scopus 로고
    • Mapping Southern Florida's Shallow-water Coral Ecosystems: An Implementation Plan
    • NOAA/NOS/NCCOS/CCMA. Silver Spring, MD
    • Rohmann, S. O., Monaco, M. E., 2005. Mapping Southern Florida's Shallow-water Coral Ecosystems: An Implementation Plan. NOAA Technical Memorandum NOS NCCOS 19. NOAA/NOS/NCCOS/CCMA. Silver Spring, MD.
    • (2005) NOAA Technical Memorandum NOS NCCOS 19
    • Rohmann, S.O.1    Monaco, M.E.2
  • 36
    • 12844252952 scopus 로고    scopus 로고
    • Spectral imaging for remote sensing
    • Shaw G.A., Burke H.K. Spectral imaging for remote sensing. Lincoln Lab. J. 2003, 14:3-28.
    • (2003) Lincoln Lab. J. , vol.14 , pp. 3-28
    • Shaw, G.A.1    Burke, H.K.2
  • 37
    • 85056354006 scopus 로고    scopus 로고
    • Data fusion for remote sensing applications
    • CRC Press, Boca Raton, FL, C.H. Chen (Ed.)
    • Solberg A.H.S. Data fusion for remote sensing applications. Signal and Image Processing for Remote Sensing 2006, 515-537. CRC Press, Boca Raton, FL. C.H. Chen (Ed.).
    • (2006) Signal and Image Processing for Remote Sensing , pp. 515-537
    • Solberg, A.H.S.1
  • 40
    • 80053584464 scopus 로고    scopus 로고
    • Kernel-based texture in remote sensing image classification
    • Warner T. Kernel-based texture in remote sensing image classification. Geography Compass 2011, 5:781-798.
    • (2011) Geography Compass , vol.5 , pp. 781-798
    • Warner, T.1
  • 42
    • 84876037260 scopus 로고    scopus 로고
    • Machine learning techniques in remote sensing data analysis
    • G. Camps-Valls and L. Bruzzone (Eds.), John Wiley & Sons Ltd, Chichester, UK.
    • Waske, B., Fauvel, M., Benediktsson, J. A., Chanussot, J., 2009. Machine learning techniques in remote sensing data analysis. In: G. Camps-Valls and L. Bruzzone (Eds.), Kernel Methods for Remote Sensing Data Analysis, John Wiley & Sons Ltd, Chichester, UK. doi:10.1002/9780470748992.ch1.
    • (2009) Kernel Methods for Remote Sensing Data Analysis
    • Waske, B.1    Fauvel, M.2    Benediktsson, J.A.3    Chanussot, J.4
  • 43
    • 84873685703 scopus 로고    scopus 로고
    • Accuracy of IKONOS for mapping benthic coral-reef habitats: a case study from the Puerto Morelos Reef National Park, Mexico
    • Zapata-Ramírez P.A., Blanchon P., Olioso A., Hernandez-Nuñez H., Sobrino J.A. Accuracy of IKONOS for mapping benthic coral-reef habitats: a case study from the Puerto Morelos Reef National Park, Mexico. Int. J. Remote Sens. 2013, 34:3671-3687.
    • (2013) Int. J. Remote Sens. , vol.34 , pp. 3671-3687
    • Zapata-Ramírez, P.A.1    Blanchon, P.2    Olioso, A.3    Hernandez-Nuñez, H.4    Sobrino, J.A.5
  • 44
    • 79551513995 scopus 로고    scopus 로고
    • Multi-source remote sensing data fusion: status and trends
    • Zhang J. Multi-source remote sensing data fusion: status and trends. Int. J. Image Data Fusion 2010, 1:5-24.
    • (2010) Int. J. Image Data Fusion , vol.1 , pp. 5-24
    • Zhang, J.1
  • 45
    • 84924225421 scopus 로고    scopus 로고
    • Combining hyperspectral and LiDAR data for vegetation mapping in the Florida Everglades
    • Zhang C. Combining hyperspectral and LiDAR data for vegetation mapping in the Florida Everglades. Photogrammetric Engineering & Remote Sensing 2014, 80:21-31.
    • (2014) Photogrammetric Engineering & Remote Sensing , vol.80 , pp. 21-31
    • Zhang, C.1
  • 46
    • 84862164250 scopus 로고    scopus 로고
    • Combining object-based texture measures with a neural network for vegetation mapping in the Everglades from hyperspectral imagery
    • Zhang C., Xie Z. Combining object-based texture measures with a neural network for vegetation mapping in the Everglades from hyperspectral imagery. Remote Sens. Environ. 2012, 124:310-320.
    • (2012) Remote Sens. Environ. , vol.124 , pp. 310-320
    • Zhang, C.1    Xie, Z.2
  • 47
    • 84903574339 scopus 로고    scopus 로고
    • Data fusion and classifier ensemble techniques for vegetation mapping in the coastal Everglades
    • Zhang C., Xie Z. Data fusion and classifier ensemble techniques for vegetation mapping in the coastal Everglades. Geocarto Int 2013, 10.1080/10106049.2012.756940.
    • (2013) Geocarto Int
    • Zhang, C.1    Xie, Z.2
  • 48
    • 84902481208 scopus 로고    scopus 로고
    • Object-based vegetation mapping in the Kissimmee River watershed using HyMap data and machine learning techniques
    • Zhang C., Xie Z. Object-based vegetation mapping in the Kissimmee River watershed using HyMap data and machine learning techniques. Wetlands 2013, 33:233-244.
    • (2013) Wetlands , vol.33 , pp. 233-244
    • Zhang, C.1    Xie, Z.2
  • 49
    • 84887612444 scopus 로고    scopus 로고
    • Object-based benthic habitat mapping in the Florida Keys from hyperspectral imagery
    • Zhang C., Selch D., Xie Z., Roberts C., Cooper H., Chen G. Object-based benthic habitat mapping in the Florida Keys from hyperspectral imagery. Estuar. Coast. Shelf Sci. 2013, 134:88-97.
    • (2013) Estuar. Coast. Shelf Sci. , vol.134 , pp. 88-97
    • Zhang, C.1    Selch, D.2    Xie, Z.3    Roberts, C.4    Cooper, H.5    Chen, G.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.