메뉴 건너뛰기




Volumn 28, Issue 2, 2013, Pages 114-129

Spectral angle mapper and object-based classification combined with hyperspectral remote sensing imagery for obtaining land use/cover mapping in a Mediterranean region

Author keywords

Hyperion; hyperspectral; land cover use mapping; object based classification; spectral angle mapper

Indexed keywords

ACCURACY ASSESSMENT; ALGORITHM; HYPERION; IMAGE CLASSIFICATION; LAND COVER; LAND USE; MAPPING; MULTISPECTRAL IMAGE; QUICKBIRD; SATELLITE IMAGERY; SPECTRAL RESOLUTION;

EID: 84877301856     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2012.668950     Document Type: Article
Times cited : (54)

References (52)
  • 2
    • 1642487678 scopus 로고    scopus 로고
    • Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information
    • Benz, U. 2004. Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry and Remote Sensing, 58: 239 - 258.
    • (2004) ISPRS Journal of Photogrammetry and Remote Sensing , vol.58 , pp. 239-258
    • Benz, U.1
  • 3
    • 70349218764 scopus 로고    scopus 로고
    • Classification of tropical trees growing in a sanctuary using Hyperion(EO-1) and SAM algorithm
    • Binal, C. and Krishnayya, N. S.R. 2009. Classification of tropical trees growing in a sanctuary using Hyperion(EO-1) and SAM algorithm. Current Science, 96 (12): 1601 - 1607.
    • (2009) Current Science , vol.96 , Issue.12 , pp. 1601-1607
    • Binal, C.1    Krishnayya, N.S.R.2
  • 5
    • 34547697121 scopus 로고    scopus 로고
    • Using a hierarchical multi-resolution mechanism for the classification and semantic extraction of land use maps for Beer-Sheva, Israel
    • Blumberg, D. G. and Zhu, G. 2007. Using a hierarchical multi-resolution mechanism for the classification and semantic extraction of land use maps for Beer-Sheva, Israel. International Journal of Remote Sensing, 28 (15): 3273 - 3289.
    • (2007) International Journal of Remote Sensing , vol.28 , Issue.15 , pp. 3273-3289
    • Blumberg, D.G.1    Zhu, G.2
  • 6
    • 20844448598 scopus 로고    scopus 로고
    • Object-oriented method for habitat mapping at multiple scales - case studies from northern Germany and Wye Downs, UK
    • Bock, M. 2005. Object-oriented method for habitat mapping at multiple scales - case studies from northern Germany and Wye Downs, UK. Journal for nature Conservation, 13: 75 - 89.
    • (2005) Journal for nature Conservation , vol.13 , pp. 75-89
    • Bock, M.1
  • 7
    • 0033586445 scopus 로고    scopus 로고
    • Feature selection and land cover classification of a MODIS-like data set for a semiarid environment
    • Borak, J. S. and Strahler, A. H. 1999. Feature selection and land cover classification of a MODIS-like data set for a semiarid environment. International Journal of Remote Sensing, 20: 919 - 938.
    • (1999) International Journal of Remote Sensing , vol.20 , pp. 919-938
    • Borak, J.S.1    Strahler, A.H.2
  • 8
    • 0142003038 scopus 로고    scopus 로고
    • A multi-scale segmentation/object relationship modelling methodology for landscape analysis
    • Burnett, C. and Blaschke, T. 2003. A multi-scale segmentation/object relationship modelling methodology for landscape analysis. Ecological Modelling, 168 (3): 233 - 249.
    • (2003) Ecological Modelling , vol.168 , Issue.3 , pp. 233-249
    • Burnett, C.1    Blaschke, T.2
  • 9
    • 39749111391 scopus 로고    scopus 로고
    • Contribution of multispectral and multi-temporal information from MODIS images to land cover classification
    • Carrao, H., Goncalves, P. and Caetano, M. 2008. Contribution of multispectral and multi-temporal information from MODIS images to land cover classification. Remote Sensing of Environment, 112: 986 - 997.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 986-997
    • Carrao, H.1    Goncalves, P.2    Caetano, M.3
  • 10
    • 0034655827 scopus 로고    scopus 로고
    • Land cover mapping of large areas from satellites: status and research priorities
    • Cihlar, J. 2000. Land cover mapping of large areas from satellites: status and research priorities. International Journal of Remote Sensing, 21: 1093 - 1114.
    • (2000) International Journal of Remote Sensing , vol.21 , pp. 1093-1114
    • Cihlar, J.1
  • 12
    • 70349172947 scopus 로고    scopus 로고
    • The role of spectral resolution and classifiers complexity in the analysis of hyperspectral images of forest areas
    • Dalponte, M. 2009. The role of spectral resolution and classifiers complexity in the analysis of hyperspectral images of forest areas. Remote Sensing of Environment, 113, 2345-2355
    • (2009) Remote Sensing of Environment , vol.113 , pp. 2345-2355
    • Dalponte, M.1
  • 13
    • 0041732265 scopus 로고    scopus 로고
    • Pre-processing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes
    • Datt, B. 2003. Pre-processing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes. IEEE Transactions on Geoscience and Remote Sensing, 41: 1246 - 1259.
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , pp. 1246-1259
    • Datt, B.1
  • 14
    • 84877247283 scopus 로고    scopus 로고
    • Spectral correlation mapper (SCM): an improvement on the spectral angle mapper (SAM)
    • Pasadena, California, CA, CA,: JPL Publication 00-18, 9. Available from:, [Accessed 4 March]
    • De Carvalho, O.A. and Meneses, P. R. Spectral correlation mapper (SCM): an improvement on the spectral angle mapper (SAM). Summaries of the 9th JPL airborne earth science workshop. Pasadena, California. CA: JPL Publication 00-18, 9. Available from: ftp://geo.arc.nasa.gov/pub/stevek/Spectral%20Correlation/Osmar_1_carvalho_web.pdf [Accessed 4 March 2012].
    • (2012) Summaries of the 9th JPL airborne earth science workshop
    • De Carvalho, O.A.1    Meneses, P.R.2
  • 16
    • 68849130937 scopus 로고    scopus 로고
    • Optimization of scale and parametrization for terrain segmentation: an application in soil-landscape modelling
    • Drǎguţ, L. 2009. Optimization of scale and parametrization for terrain segmentation: an application in soil-landscape modelling. Computers & Geosciences, 35, 1875-1883
    • (2009) Computers & Geosciences , vol.35 , pp. 1875-1883
    • Drǎguţ, L.1
  • 17
    • 78049274785 scopus 로고    scopus 로고
    • Wavelet SVM in reproducing kernel Hilbert space for hyperspectral remote sensing image classification
    • Du, P., Tan, K. and Xing, X. 2010. Wavelet SVM in reproducing kernel Hilbert space for hyperspectral remote sensing image classification. Optics Communications, 283: 4978 - 4984.
    • (2010) Optics Communications , vol.283 , pp. 4978-4984
    • Du, P.1    Tan, K.2    Xing, X.3
  • 19
    • 77955520648 scopus 로고    scopus 로고
    • ENVI User's Guide, Boulder, CO, Boulder, CO,: ITT Visual Information Solutions
    • ENVI User's Guide. 2008. ENVI on-line software user's manual, Boulder, CO: ITT Visual Information Solutions.
    • (2008) ENVI on-line software user's manual
  • 20
    • 33746649053 scopus 로고    scopus 로고
    • Mapping impervious surface Type and sub-pixel abundance using Hyperion hyperspectral imagery
    • Falcone, J. A. and Gomez, R. 2005. Mapping impervious surface Type and sub-pixel abundance using Hyperion hyperspectral imagery. Geocarto International, 20 (4): 3 - 10.
    • (2005) Geocarto International , vol.20 , Issue.4 , pp. 3-10
    • Falcone, J.A.1    Gomez, R.2
  • 21
    • 0035049960 scopus 로고    scopus 로고
    • EO-1/Hyperion hyperspectral imager design, development, characterization, and calibration. Hyperspectral remote sensing of the land and atmosphere
    • Folkman, M. 2001. EO-1/Hyperion hyperspectral imager design, development, characterization, and calibration. Hyperspectral remote sensing of the land and atmosphere. Proceedings of SPIE, 4151: 40 - 51.
    • (2001) Proceedings of SPIE , vol.4151 , pp. 40-51
    • Folkman, M.1
  • 22
    • 56349083789 scopus 로고    scopus 로고
    • Analysis of green space in Chongqing and Nanjing, cities of China with ASTER images using object-oriented image classification and landscape metric analysis
    • Fung, T. 2008. Analysis of green space in Chongqing and Nanjing, cities of China with ASTER images using object-oriented image classification and landscape metric analysis. International Journal of Remote Sensing, 29 (24): 7159 - 7180.
    • (2008) International Journal of Remote Sensing , vol.29 , Issue.24 , pp. 7159-7180
    • Fung, T.1
  • 23
    • 12944276914 scopus 로고    scopus 로고
    • Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data
    • Galvao, L. S., Formaggio, A. R. and Tisot, D. A. 2005. Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data. Remote Sensing of Environment, 94: 523 - 534.
    • (2005) Remote Sensing of Environment , vol.94 , pp. 523-534
    • Galvao, L.S.1    Formaggio, A.R.2    Tisot, D.A.3
  • 24
  • 25
    • 0027338791 scopus 로고
    • The spectral image processing system (sips) - interactive visualization and analysis of imaging spectrometer data
    • Kruse, F. A. 1993. The spectral image processing system (sips) - interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment, 44: 145 - 163.
    • (1993) Remote Sensing of Environment , vol.44 , pp. 145-163
    • Kruse, F.A.1
  • 26
    • 64649101755 scopus 로고    scopus 로고
    • Forest cover change and illiegal logging in the Ukranian Carpathians in the transition period from 1988 to 2007
    • Kuemmerle, T. 2009. Forest cover change and illiegal logging in the Ukranian Carpathians in the transition period from 1988 to 2007. Remote Sensing of Environment, 113: 1194 - 1207.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 1194-1207
    • Kuemmerle, T.1
  • 27
    • 33750028756 scopus 로고    scopus 로고
    • Mapping coral reef benthic substrates using hyperspectral space-borne images and spectral libraries
    • Kutser, T., Miller, I. and Jupp, D. L.B. 2006. Mapping coral reef benthic substrates using hyperspectral space-borne images and spectral libraries. Estuaries, Coastal and Shelf Science, 70: 449 - 460.
    • (2006) Estuaries, Coastal and Shelf Science , vol.70 , pp. 449-460
    • Kutser, T.1    Miller, I.2    Jupp, D.L.B.3
  • 28
    • 0025430387 scopus 로고
    • Enhancement of high spectral resolution remote sensing data by a noise-adjusted principal components transform
    • Lee, J. B., Woodyatt, S. and Berman, M. 1990. Enhancement of high spectral resolution remote sensing data by a noise-adjusted principal components transform. IEEE Transactions on Geoscience and Remote Sensing, 28 (3): 295 - 304.
    • (1990) IEEE Transactions on Geoscience and Remote Sensing , vol.28 , Issue.3 , pp. 295-304
    • Lee, J.B.1    Woodyatt, S.2    Berman, M.3
  • 29
    • 71349083736 scopus 로고    scopus 로고
    • A class possibility based kernel to increase classification accuracy for small data sets using support vector machines
    • Li, D.-C. and Liu, C.-W. 2010. A class possibility based kernel to increase classification accuracy for small data sets using support vector machines. Expert Systems with Applications, 37: 3104 - 3110.
    • (2010) Expert Systems with Applications , vol.37 , pp. 3104-3110
    • Li, D.-C.1    Liu, C.-W.2
  • 30
    • 33947591833 scopus 로고    scopus 로고
    • A survey of image classification methods and techniques for improving classification performance
    • Lu, D. and Weng, Q. 2007. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28 (5): 823 - 870.
    • (2007) International Journal of Remote Sensing , vol.28 , Issue.5 , pp. 823-870
    • Lu, D.1    Weng, Q.2
  • 31
    • 40349110669 scopus 로고    scopus 로고
    • Crop classification by support vector machine with intelligently selected training data for an operational application
    • Mathur, A. and Foody, G. M. 2008. Crop classification by support vector machine with intelligently selected training data for an operational application. International Journal of Remote Sensing, 29 (8): 2227 - 2240.
    • (2008) International Journal of Remote Sensing , vol.29 , Issue.8 , pp. 2227-2240
    • Mathur, A.1    Foody, G.M.2
  • 32
    • 13644256120 scopus 로고    scopus 로고
    • Support vector machines for classification in remote sensing
    • Pal, M. and Mather, P. M. 2005. Support vector machines for classification in remote sensing. International Journal of Remote Sensing, 26 (5): 1007 - 1011.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.5 , pp. 1007-1011
    • Pal, M.1    Mather, P.M.2
  • 33
    • 0027658896 scopus 로고
    • A review of image segmentation techniques
    • Pal, N. R. and Pal, S. K. 1993. A review of image segmentation techniques. Pattern Recognition, 26pp: 1277 - 1294.
    • (1993) Pattern Recognition , vol.26 , pp. 1277-1294
    • Pal, N.R.1    Pal, S.K.2
  • 34
    • 34147220903 scopus 로고    scopus 로고
    • Mapping an invasive plant, Phragmites australis, in coastal wetlands using the EO-1 Hyperion hyperspectral sensor
    • Pengra, B. W., Johnston, C. A. and Loveland, T. R. 2007. Mapping an invasive plant, Phragmites australis, in coastal wetlands using the EO-1 Hyperion hyperspectral sensor. Remote sensing of Environment, 108: 74 - 81.
    • (2007) Remote sensing of Environment , vol.108 , pp. 74-81
    • Pengra, B.W.1    Johnston, C.A.2    Loveland, T.R.3
  • 36
    • 84857916067 scopus 로고    scopus 로고
    • Support vector machines and object-based classification for obtaining land use/cover cartography from hyperion
    • Petropoulos, G.P., Kalaitzidis, C., and Vadrevu, K.P. 2012. Support vector machines and object-based classification for obtaining land use/cover cartography from hyperion. Computers and Geosciences, 41: 99 - 107.
    • (2012) Computers and Geosciences , vol.41 , pp. 99-107
    • Petropoulos, G.P.1    Kalaitzidis, C.2    Vadrevu, K.P.3
  • 37
    • 58349122295 scopus 로고    scopus 로고
    • Evaluating Hyperion capability for land cover mapping in a fragmented ecosystem: Pollino National Park, Italy
    • Pignatti, S. 2009. Evaluating Hyperion capability for land cover mapping in a fragmented ecosystem: Pollino National Park, Italy. Remote Sensing of Environment, 113: 622 - 634.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 622-634
    • Pignatti, S.1
  • 38
    • 1242322063 scopus 로고    scopus 로고
    • Hyperion, IKONOS, ALI and ETM+ sensors in the study of African rainforests
    • Thenkabail, P. S. 2004. Hyperion, IKONOS, ALI and ETM+ sensors in the study of African rainforests. Remote Sensing of Environment, 90: 23 - 43.
    • (2004) Remote Sensing of Environment , vol.90 , pp. 23-43
    • Thenkabail, P.S.1
  • 39
    • 0033970477 scopus 로고    scopus 로고
    • Hyperspectral vegetation indices and their relationships with agricultural crop characteristics
    • Thenkabail, P. S., Smith, R. B. and De Pauw, E. 2000. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sensing of Environment, 71: 158 - 182.
    • (2000) Remote Sensing of Environment , vol.71 , pp. 158-182
    • Thenkabail, P.S.1    Smith, R.B.2    De Pauw, E.3
  • 40
    • 77951013865 scopus 로고    scopus 로고
    • Exploiting IKONOS and Hyperion data fusion for automated road extraction
    • Tiwari, P. S., Pande, H. and Aye, M. N. 2010. Exploiting IKONOS and Hyperion data fusion for automated road extraction. Geocarto International, 25 (2): 123 - 131.
    • (2010) Geocarto International , vol.25 , Issue.2 , pp. 123-131
    • Tiwari, P.S.1    Pande, H.2    Aye, M.N.3
  • 41
  • 42
    • 80255129426 scopus 로고    scopus 로고
    • USGS, Available from: [Accessed 5 January 2010]
    • USGS. 2008. EO1 user guide Available from:http://eo1.usgs.gov/userGuide/index.php? page=program [Accessed 5 January 2010]
    • (2008) EO1 user guide
  • 43
    • 41249092362 scopus 로고    scopus 로고
    • QuickBird and hyperion data analysis of an invasive plant species in the Galapagos Islands of Ecuador: implications for control and land use management
    • Walsh, S. J. 2008. QuickBird and hyperion data analysis of an invasive plant species in the Galapagos Islands of Ecuador: implications for control and land use management. Remote Sensing of Environment, 112: 1927 - 1941.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 1927-1941
    • Walsh, S.J.1
  • 44
    • 80054912330 scopus 로고    scopus 로고
    • Application of geographic image cognition approach in land type classification using Hyperion imager: a case study in China
    • Wang, J. 2010a. Application of geographic image cognition approach in land type classification using Hyperion imager: a case study in China. International Journal of Applied Earth Observation and Geoinformation, 12 (Suppl. 2), S212-S222
    • (2010) International Journal of Applied Earth Observation and Geoinformation , vol.12 , Issue.SUPPL. 2
    • Wang, J.1
  • 45
    • 80054912330 scopus 로고    scopus 로고
    • Application of geographic image cognition approach in land type classification using Hyperion image: a case study in China
    • Wang, J. Y. 2010b. Application of geographic image cognition approach in land type classification using Hyperion image: a case study in China. International Journal of Applied Earth Observation and Geoinformation, 12: 212 - 222.
    • (2010) International Journal of Applied Earth Observation and Geoinformation , vol.12 , pp. 212-222
    • Wang, J.Y.1
  • 46
    • 84877287201 scopus 로고    scopus 로고
    • Contribution to the assessment of segmentation quality for remote sensing applications. International archives of photogrammetry
    • Weidner, U. 2010. Contribution to the assessment of segmentation quality for remote sensing applications. International archives of photogrammetry. Remote Sensing of Environment, 114 (7): 1576 - 1589.
    • (2010) Remote Sensing of Environment , vol.114 , Issue.7 , pp. 1576-1589
    • Weidner, U.1
  • 47
    • 77951099810 scopus 로고    scopus 로고
    • Characterising temperate forest structural and spectral diversity with Hyperion EO-1 data
    • White, J. C. 2010. Characterising temperate forest structural and spectral diversity with Hyperion EO-1 data. Remote Sensing of Environment, 114: 1576 - 1589.
    • (2010) Remote Sensing of Environment , vol.114 , pp. 1576-1589
    • White, J.C.1
  • 48
    • 43049103488 scopus 로고    scopus 로고
    • Exploring for natural gas using reflectance spectra of surface soils
    • Xu, D.-Q. 2008. Exploring for natural gas using reflectance spectra of surface soils. Advances in Space Research, 41: 1800 - 1817.
    • (2008) Advances in Space Research , vol.41 , pp. 1800-1817
    • Xu, D.-Q.1
  • 49
    • 33750084387 scopus 로고    scopus 로고
    • Comparison of pixel-based and object-oriented image classification approaches - a case study in a coal fire area, Wud, Inner Mongolia, China
    • Yan, G. 2006. Comparison of pixel-based and object-oriented image classification approaches - a case study in a coal fire area, Wud, Inner Mongolia, China. International Journal of Remote Sensing, 27 (18): 4039 - 4055.
    • (2006) International Journal of Remote Sensing , vol.27 , Issue.18 , pp. 4039-4055
    • Yan, G.1
  • 50
    • 75749152522 scopus 로고    scopus 로고
    • Object-oriented subspace analysis for airborne hyperspectral remote sensing imagery
    • Zhang, L. and Huang, X. 2010. Object-oriented subspace analysis for airborne hyperspectral remote sensing imagery. Neurocomputing, 73: 927 - 936.
    • (2010) Neurocomputing , vol.73 , pp. 927-936
    • Zhang, L.1    Huang, X.2
  • 51
    • 70449384598 scopus 로고    scopus 로고
    • Feature selection for hyperspectral data based on recursive support vector machines
    • Zhang, R. and Ma, J. 2009. Feature selection for hyperspectral data based on recursive support vector machines. International Journal of Remote Sensing, 30 (14): 3669 - 3677.
    • (2009) International Journal of Remote Sensing , vol.30 , Issue.14 , pp. 3669-3677
    • Zhang, R.1    Ma, J.2
  • 52
    • 77449104877 scopus 로고    scopus 로고
    • Development of an object-based framework for classifying and inventorying human-dominated forest ecosystems
    • Zhou, W. and Troy, A. 2009. Development of an object-based framework for classifying and inventorying human-dominated forest ecosystems. International Journal of Remote Sensing, 30 (23): 6343 - 6360.
    • (2009) International Journal of Remote Sensing , vol.30 , Issue.23 , pp. 6343-6360
    • Zhou, W.1    Troy, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.