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Volumn 35, Issue 19, 2014, Pages 7046-7068

Effect of red-edge and texture features for object-based paddy rice crop classification using RapidEye multi-spectral satellite image data

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; SATELLITE IMAGERY;

EID: 84908079629     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2014.965285     Document Type: Article
Times cited : (77)

References (65)
  • 2
    • 0001371584 scopus 로고
    • Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat
    • Asrar, G., M. Fuchs, E. T. Kanemasu, and J. L. Hatfield. 1984. “Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat.” Agronomy Journal 76 (2): 300–306. doi:10.2134/agronj1984.00021962007600020029x.
    • (1984) Agronomy Journal , vol.76 , Issue.2 , pp. 300-306
    • Asrar, G.1    Fuchs, M.2    Kanemasu, E.T.3    Hatfield, J.L.4
  • 4
    • 84908056268 scopus 로고    scopus 로고
    • December
    • BlackBridge. 2013. “Satellite Imagery.” Accessed December13. http://blackbridge.com/rapideye/products/index.html
    • (2013) Satellite Imagery
  • 5
    • 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: 2–16. doi:10.1016/j.isprsjprs.2009.06.004.
    • (2010) ISPRS Journal of Photogrammetry and Remote Sensing , vol.65 , pp. 2-16
    • Blaschke, T.1
  • 6
    • 0035797154 scopus 로고    scopus 로고
    • Field Water Management to Save Water and Increase Its Productivity in Irrigated Lowland Rice
    • Bouman, B. A. M., and T. P. Tuong. 2001. “Field Water Management to Save Water and Increase Its Productivity in Irrigated Lowland Rice.” Agricultural Water Management 49: 11–30. doi:10.1016/S0378-3774(00)00128-1.
    • (2001) Agricultural Water Management , vol.49 , pp. 11-30
    • Bouman, B.A.M.1    Tuong, T.P.2
  • 7
    • 0000260873 scopus 로고    scopus 로고
    • Leaf Optical Properties in Higher Plants: Linking Spectral Characteristics to Stress and Chlorophyll Concentration
    • Carter, G. A., and A. K. Knapp. 2001. “Leaf Optical Properties in Higher Plants: Linking Spectral Characteristics to Stress and Chlorophyll Concentration.” American Journal of Botany 88 (4): 677. doi:10.2307/2657068.
    • (2001) American Journal of Botany , vol.88 , Issue.4 , pp. 677
    • Carter, G.A.1    Knapp, A.K.2
  • 8
    • 0028669120 scopus 로고
    • Early Detection of Plant Stress by Digital Imaging within Narrow Stress-Sensitive Wavebands
    • Carter, G. A., and R. L. Miller. 1994. “Early Detection of Plant Stress by Digital Imaging within Narrow Stress-Sensitive Wavebands.” Remote Sensing of Environment 50: 295–302. doi:10.1016/0034-4257(94)90079-5.
    • (1994) Remote Sensing of Environment , vol.50 , pp. 295-302
    • Carter, G.A.1    Miller, R.L.2
  • 10
    • 33645961585 scopus 로고    scopus 로고
    • Predicting Rice Yield Using Canopy Reflectance Measured at Booting Stage
    • Chang, K.-W., Y. Shen, and J.-C. Lo. 2005. “Predicting Rice Yield Using Canopy Reflectance Measured at Booting Stage.” Agronomy Journal 97: 872–878. doi:10.2134/agronj2004.0162.
    • (2005) Agronomy Journal , vol.97 , pp. 872-878
    • Chang, K.-W.1    Shen, Y.2    Lo, J.-C.3
  • 11
    • 2942586682 scopus 로고    scopus 로고
    • Examining the Effect of Spatial Resolution and Texture Window Size on Classification Accuracy: An Urban Environment Case
    • Chen, D., D. A. Stow, and P. Gong. 2004. “Examining the Effect of Spatial Resolution and Texture Window Size on Classification Accuracy: An Urban Environment Case.” International Journal of Remote Sensing 25 (11): 1–16.
    • (2004) International Journal of Remote Sensing , vol.25 , Issue.11 , pp. 1-16
    • Chen, D.1    Stow, D.A.2    Gong, P.3
  • 12
    • 0026483229 scopus 로고
    • Identification of a Far-Red-Reflectance Response to Ectomycorrhizae in Slash Pine
    • Cibula, W. G., and G. A. Carter. 1992. “Identification of a Far-Red-Reflectance Response to Ectomycorrhizae in Slash Pine.” International Journal of Remote Sensing 13 (5): 925–932. doi:10.1080/01431169208904165.
    • (1992) International Journal of Remote Sensing , vol.13 , Issue.5 , pp. 925-932
    • Cibula, W.G.1    Carter, G.A.2
  • 13
    • 0036641822 scopus 로고    scopus 로고
    • Rapid Extraction of Image Texture by Co-occurrence Using a Hybrid Data Structure
    • Clausi, D. A., and Y. Zhao. 2002. “Rapid Extraction of Image Texture by Co-occurrence Using a Hybrid Data Structure.” Computers and Geosciences 28: 763–774. doi:10.1016/S0098-3004(01)00108-X.
    • (2002) Computers and Geosciences , vol.28 , pp. 763-774
    • Clausi, D.A.1    Zhao, Y.2
  • 14
    • 84880274496 scopus 로고    scopus 로고
    • Remote Estimation of Crop and Grass Chlorophyll and Nitrogen Content Using Red-Edge Bands on Sentinel-2 and -3
    • Clevers, J. G. P. W., and A. A. Gitelson. 2013. “Remote Estimation of Crop and Grass Chlorophyll and Nitrogen Content Using Red-Edge Bands on Sentinel-2 and -3.” International Journal of Applied Earth Observation and Geoinformation 23: 344–351. doi:10.1016/j.jag.2012.10.008.
    • (2013) International Journal of Applied Earth Observation and Geoinformation , vol.23 , pp. 344-351
    • Clevers, J.G.P.W.1    Gitelson, A.A.2
  • 16
    • 6344256799 scopus 로고    scopus 로고
    • Efficiency and Accuracy of Per-Field Classification for Operational Crop Mapping
    • De Wit, A. J. W., and J. G. P. W. Clevers. 2004. “Efficiency and Accuracy of Per-Field Classification for Operational Crop Mapping.” International Journal of Remote Sensing 25 (20): 4091–4112. doi:10.1080/01431160310001619580.
    • (2004) International Journal of Remote Sensing , vol.25 , Issue.20 , pp. 4091-4112
    • De Wit, A.J.W.1    Clevers, J.G.P.W.2
  • 17
    • 84908068781 scopus 로고    scopus 로고
    • March
    • DigitalGlobe. 2014. “Basic Imagery Data Sheet.” Accessed March21. www.digitalglobe.com
    • (2014) Basic Imagery Data Sheet
  • 18
    • 33745625080 scopus 로고    scopus 로고
    • Automated Techniques for Environmental Monitoring and Change Analyses for Ultra-High Resolution Remote Sensing Data
    • Ehlers, M., M. Gaehler, and R. Janowsky. 2006. “Automated Techniques for Environmental Monitoring and Change Analyses for Ultra-High Resolution Remote Sensing Data.” Photogrammetric Engineering & Remote Sensing 72 (7): 835–844. doi:10.14358/PERS.72.7.835.
    • (2006) Photogrammetric Engineering & Remote Sensing , vol.72 , Issue.7 , pp. 835-844
    • Ehlers, M.1    Gaehler, M.2    Janowsky, R.3
  • 20
    • 0028166734 scopus 로고
    • The Red Edge Position and Shape as Indicators of Plant Chlorophyll Content, Biomass and Hydric Status
    • Filella, I., and J. Penuelas. 1994. “The Red Edge Position and Shape as Indicators of Plant Chlorophyll Content, Biomass and Hydric Status.” International Journal of Remote Sensing 15 (7): 1459–1470. doi:10.1080/01431169408954177.
    • (1994) International Journal of Remote Sensing , vol.15 , Issue.7 , pp. 1459-1470
    • Filella, I.1    Penuelas, J.2
  • 21
    • 84905743150 scopus 로고    scopus 로고
    • Texture Characterization Based on Grey-Level Co-Occurrence Matrix
    • Gebejes, A., and R. Huertas. 2013. “Texture Characterization Based on Grey-Level Co-Occurrence Matrix.” In Proceedings in Conference of Informatics and Management Sciences, Vol. 2, March 2013. EDIS-Publishing Institution of the University of Zilina. Accessed October 1, 2014. http://www.ictic.sk/archive/?vid=1&aid=2&kid=50201-78
    • (2013) Proceedings in Conference of Informatics and Management Sciences
    • Gebejes, A.1    Huertas, R.2
  • 22
    • 84887417383 scopus 로고    scopus 로고
    • A Comparison of Terrasar-X Quadpol Backscattering with Rapideye Multispectral Vegetation Indices over Rice Fields in the Mekong Delta, Vietnam
    • Gebhardt, S., J. Huth, L. D. Nguyen, A. Roth, and C. Kuenzer. 2012. “A Comparison of Terrasar-X Quadpol Backscattering with Rapideye Multispectral Vegetation Indices over Rice Fields in the Mekong Delta, Vietnam.” International Journal of Remote Sensing 33 (24): 7644–7661. doi:10.1080/01431161.2012.702233.
    • (2012) International Journal of Remote Sensing , vol.33 , Issue.24 , pp. 7644-7661
    • Gebhardt, S.1    Huth, J.2    Nguyen, L.D.3    Roth, A.4    Kuenzer, C.5
  • 23
    • 84875188593 scopus 로고    scopus 로고
    • NDVI Saturation Adjustment: A New Approach for Improving Cropland Performance Estimates in the Greater Platte River Basin, USA
    • Gu, Y., B. K. Wylie, D. M. Howard, K. P. Phuyal, and L. Ji. 2013. “NDVI Saturation Adjustment: A New Approach for Improving Cropland Performance Estimates in the Greater Platte River Basin, USA.” Ecological Indicators 30: 1–6. doi:10.1016/j.ecolind.2013.01.041.
    • (2013) Ecological Indicators , vol.30 , pp. 1-6
    • Gu, Y.1    Wylie, B.K.2    Howard, D.M.3    Phuyal, K.P.4    Ji, L.5
  • 24
    • 80054087663 scopus 로고    scopus 로고
    • Mapping Rice Areas of South Asia Using MODIS Multi-Temporal Data
    • Gumma, M. K., A. Nelson, P. Thenkabail, and A. Singh. 2011. “Mapping Rice Areas of South Asia Using MODIS Multi-Temporal Data.” Journal of Applied Remote Sensing 5: 053547–26. doi:10.1117/1.3619838.
    • (2011) Journal of Applied Remote Sensing , vol.5 , pp. 53526-53547
    • Gumma, M.K.1    Nelson, A.2    Thenkabail, P.3    Singh, A.4
  • 25
    • 84876362909 scopus 로고    scopus 로고
    • Effect of Rice Cultivar on CH4 Emissions and Productivity in Korean Paddy Soil
    • Gutierrez, J., S. Y. Kim, and P. J. Kim. 2013. “Effect of Rice Cultivar on CH4 Emissions and Productivity in Korean Paddy Soil.” Field Crops Research 146: 16–24. doi:10.1016/j.fcr.2013.03.003.
    • (2013) Field Crops Research , vol.146 , pp. 16-24
    • Gutierrez, J.1    Kim, S.Y.2    Kim, P.J.3
  • 30
    • 20344367734 scopus 로고    scopus 로고
    • On Quantifying Agricultural and Water Management Practices from Low Spatial Resolution RS Data Using Genetic Algorithms: A Numerical Study for Mixed-Pixel Environment
    • Ines, A. V. M., and K. Honda. 2005. “On Quantifying Agricultural and Water Management Practices from Low Spatial Resolution RS Data Using Genetic Algorithms: A Numerical Study for Mixed-Pixel Environment.” Advances in Water Resources 28 (8): 856–870. doi:10.1016/j.advwatres.2004.11.015.
    • (2005) Advances in Water Resources , vol.28 , Issue.8 , pp. 856-870
    • Ines, A.V.M.1    Honda, K.2
  • 31
    • 84908071671 scopus 로고    scopus 로고
    • March
    • IRRI (International Rice Research Institute). 2009. “Rice Knowledge Bank: Growth Stages of the Rice Plants.” Accessed March21, 2014. http://www.knowledgebank.irri.org/ericeproduction/0.2._Growth_stages_of_the_rice_plant.htm
    • (2009) Rice Knowledge Bank: Growth Stages of the Rice Plants
  • 33
    • 77956241328 scopus 로고    scopus 로고
    • Estimating Leaf Chlorophyll Content Using Red Edge Parameters
    • Ju, C.-H., Y.-C. Tian, X. Yao, W.-X. Cao, Y. Zhu, and D. Hannaway. 2010. “Estimating Leaf Chlorophyll Content Using Red Edge Parameters.” Pedosphere 20 (5): 633–644. doi:10.1016/S1002-0160(10)60053-7.
    • (2010) Pedosphere , vol.20 , Issue.5 , pp. 633-644
    • Ju, C.-H.1    Tian, Y.-C.2    Yao, X.3    Cao, W.-X.4    Zhu, Y.5    Hannaway, D.6
  • 34
    • 57349178491 scopus 로고    scopus 로고
    • Quantifying Sub-Pixel Signature of Paddy Rice Field Using an Artificial Neural Network
    • Karkee, M., B. L. Steward, L. Tang, and S. A. Aziz. 2009. “Quantifying Sub-Pixel Signature of Paddy Rice Field Using an Artificial Neural Network.” Computers and Electronics in Agriculture 65: 65–76. doi:10.1016/j.compag.2008.07.009.
    • (2009) Computers and Electronics in Agriculture , vol.65 , pp. 65-76
    • Karkee, M.1    Steward, B.L.2    Tang, L.3    Aziz, S.A.4
  • 35
    • 80052639803 scopus 로고    scopus 로고
    • Use of High Resolution Satellite Imagery for the Analysis of Sealing in the Metropolitan Area Seoul
    • Erasmi S., Cyffka B., Kappas M., (eds), Goettingen: Universitaet Goettingen
    • Kim, H. O., and B. Kleinschmit. 2005. “Use of High Resolution Satellite Imagery for the Analysis of Sealing in the Metropolitan Area Seoul.” In Vol. 113 of Remote Sensing & GIS for Environmental Studies: Applications in Geography, Göttinger Geographische Abhandlungen, edited by S. Erasmi, B. Cyffka, and M. Kappas, 281–286. Goettingen: Universitaet Goettingen.
    • (2005) Remote Sensing & GIS for Environmental Studies: Applications in Geography, Göttinger Geographische Abhandlungen , pp. 281-286
    • Kim, H.O.1    Kleinschmit, B.2
  • 36
    • 84908055900 scopus 로고    scopus 로고
    • March
    • Kimje-Si. 2014. “Jipyungseon Rice.” Accessed March21, 2014. http://tour.gimje.go.kr/index.sko?menuCd=BQ06001000000
    • (2014) Jipyungseon Rice
  • 37
    • 84896402185 scopus 로고    scopus 로고
    • March
    • KMA. 2014. “Climate Data.” Accessed March21. http://www.kma.go.kr/weather/climate/average_regional07.jsp
    • (2014) Climate Data
  • 39
    • 84870494166 scopus 로고    scopus 로고
    • Remote Sensing of Rice Crop Areas
    • Kuenzer, C., and K. Knauer. 2013. “Remote Sensing of Rice Crop Areas.” International Journal of Remote Sensing 34 (6): 2101–2139. doi:10.1080/01431161.2012.738946.
    • (2013) International Journal of Remote Sensing , vol.34 , Issue.6 , pp. 2101-2139
    • Kuenzer, C.1    Knauer, K.2
  • 40
    • 33749495971 scopus 로고    scopus 로고
    • Using Digital Photographs and Object-Based Image Analysis to Estimate Percent Ground Cover in Vegetation Plots
    • Luscier, J. D., W. L. Thompson, J. M. Wilson, B. E. Gorham, and L. D. Dragut. 2006. “Using Digital Photographs and Object-Based Image Analysis to Estimate Percent Ground Cover in Vegetation Plots.” Frontiers in Ecology and the Environment 4 (8): 408–413. doi:10.1890/1540-9295(2006)4[408:UDPAOI]2.0.CO;2.
    • (2006) Frontiers in Ecology and the Environment , vol.4 , Issue.8 , pp. 408-413
    • Luscier, J.D.1    Thompson, W.L.2    Wilson, J.M.3    Gorham, B.E.4    Dragut, L.D.5
  • 41
    • 34249108636 scopus 로고    scopus 로고
    • Mapping Private Gardens in Urban Areas Using Object-Oriented Techniques and Very High-Resolution Satellite Imagery
    • Mathieu, R., C. Freeman, and J. Aryal. 2007. “Mapping Private Gardens in Urban Areas Using Object-Oriented Techniques and Very High-Resolution Satellite Imagery.” Landscape and Urban Planning 81 (3): 179–192. doi:10.1016/j.landurbplan.2006.11.009.
    • (2007) Landscape and Urban Planning , vol.81 , Issue.3 , pp. 179-192
    • Mathieu, R.1    Freeman, C.2    Aryal, J.3
  • 42
    • 34247531315 scopus 로고    scopus 로고
    • Red Edge Shift and Biochemical Content in Grass Canopies
    • Mutanga, O., and A. K. Skidmore. 2007. “Red Edge Shift and Biochemical Content in Grass Canopies.” ISPRS Journal of Photogrammetry & Remote Sensing 62: 34–42. doi:10.1016/j.isprsjprs.2007.02.001.
    • (2007) ISPRS Journal of Photogrammetry & Remote Sensing , vol.62 , pp. 34-42
    • Mutanga, O.1    Skidmore, A.K.2
  • 43
    • 57649137980 scopus 로고    scopus 로고
    • Assessing Image Segmentation Quality – Concepts, Methods and Application
    • Blaschke T., Lang S., Hay G. J., (eds), Heidelberg: Springer
    • Neubert, M., H. Herold, and G. Meinel. 2008. “Assessing Image Segmentation Quality – Concepts, Methods and Application.” In Object Based Image Analysis, edited by T. Blaschke, S. Lang, and G. J. Hay, 760–784. Heidelberg: Springer.
    • (2008) Object Based Image Analysis , pp. 760-784
    • Neubert, M.1    Herold, H.2    Meinel, G.3
  • 44
    • 84908055896 scopus 로고    scopus 로고
    • March
    • NICS (National Institute of Crop Science). 2014. “Crop Information: Rice.” Accessed March21. http://www.nics.go.kr/home.nics?method=sub2
    • (2014) Crop Information: Rice
  • 45
    • 46349083171 scopus 로고    scopus 로고
    • Fast Over-Land Atmospheric Correction of Visible and Near-Infrared Satellite Images
    • Nunes, A. S. L., A. R. S. Marçal, and R. A. Vaughan. 2008. “Fast Over-Land Atmospheric Correction of Visible and Near-Infrared Satellite Images.” International Journal of Remote Sensing 29: 3523–3531. doi:10.1080/01431160701592445.
    • (2008) International Journal of Remote Sensing , vol.29 , pp. 3523-3531
    • Nunes, A.S.L.1    Marçal, A.R.S.2    Vaughan, R.A.3
  • 47
    • 79953182966 scopus 로고    scopus 로고
    • Object-Based Crop Identification Using Multiple Vegetation Indices, Textural Features and Crop Phenology
    • Peña-Barragán, J. M., M. Ngugi, R. E. Plant, and J. Six. 2011. “Object-Based Crop Identification Using Multiple Vegetation Indices, Textural Features and Crop Phenology.” Remote Sensing of Environment 115: 1301–1316. doi:10.1016/j.rse.2011.01.009.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 1301-1316
    • Peña-Barragán, J.M.1    Ngugi, M.2    Plant, R.E.3    Six, J.4
  • 48
    • 82655178425 scopus 로고    scopus 로고
    • A Novel Algorithm for Land Use and Land Cover Classification Using RADARSAT-2 Polarimetric SAR Data
    • Qi, Z., A. G.-O. Yeh, X. Li, and Z. Lin. 2012. “A Novel Algorithm for Land Use and Land Cover Classification Using RADARSAT-2 Polarimetric SAR Data.” Remote Sensing of Environment 118: 21–39. doi:10.1016/j.rse.2011.11.001.
    • (2012) Remote Sensing of Environment , vol.118 , pp. 21-39
    • Qi, Z.1    Yeh, A.G.-O.2    Li, X.3    Lin, Z.4
  • 52
    • 84908067141 scopus 로고    scopus 로고
    • Issues for Improving Agricultural Global Competition
    • Ryu, B. S. 2002. “Issues for Improving Agricultural Global Competition.” [In Korean with English abstract.] Journal of Korea Food Market Association 19 (1), 1–15.
    • (2002) Journal of Korea Food Market Association , vol.19 , Issue.1 , pp. 1-15
    • Ryu, B.S.1
  • 53
    • 84870772189 scopus 로고    scopus 로고
    • Unravelling Remote Sensing Signatures of Plants Contaminated with Gasoline and Diesel: An Approach Using the Red Edge Spectral Feature
    • Sanches, I. D., C. R. Souza Filho, L. A. Magalhães, G. C. M. Quitério, M. N. Alves, and W. J. Oliveira. 2013. “Unravelling Remote Sensing Signatures of Plants Contaminated with Gasoline and Diesel: An Approach Using the Red Edge Spectral Feature.” Environmental Pollution 174: 16–27. doi:10.1016/j.envpol.2012.10.029.
    • (2013) Environmental Pollution , vol.174 , pp. 16-27
    • Sanches, I.D.1    Souza Filho, C.R.2    Magalhães, L.A.3    Quitério, G.C.M.4    Alves, M.N.5    Oliveira, W.J.6
  • 54
    • 61349093179 scopus 로고    scopus 로고
    • The Rapideye Optical Satellite Family for High Resolution Imagery
    • Fritsch D., Spiller R., (eds), Heidelberg: Wichmann Verlag
    • Scherer, S., and M. Krischke. 2001. “The Rapideye Optical Satellite Family for High Resolution Imagery.” In Photogrammetric Week ’01, edited by D. Fritsch and R. Spiller, 139–145. Heidelberg: Wichmann Verlag.
    • (2001) Photogrammetric Week ’01 , pp. 139-145
    • Scherer, S.1    Krischke, M.2
  • 55
    • 84858015958 scopus 로고    scopus 로고
    • Testing the Red Edge Channel for Improving Land-Use Classifications Based on High-Resolution Multi-Spectral Satellite Data
    • Schuster, C., M. Förster, and B. Kleinschmit. 2012. “Testing the Red Edge Channel for Improving Land-Use Classifications Based on High-Resolution Multi-Spectral Satellite Data.” International Journal of Remote Sensing 33 (17): 5583–5599. doi:10.1080/01431161.2012.666812.
    • (2012) International Journal of Remote Sensing , vol.33 , Issue.17 , pp. 5583-5599
    • Schuster, C.1    Förster, M.2    Kleinschmit, B.3
  • 56
    • 41549098777 scopus 로고    scopus 로고
    • Monitoring Farmers’ Decisions on Mediterranean Irrigated Crops Using Satellite Image Time Series
    • Serra, P., and X. Pons. 2008. “Monitoring Farmers’ Decisions on Mediterranean Irrigated Crops Using Satellite Image Time Series.” International Journal of Remote Sensing 29 (8): 2293–2316. doi:10.1080/01431160701408444.
    • (2008) International Journal of Remote Sensing , vol.29 , Issue.8 , pp. 2293-2316
    • Serra, P.1    Pons, X.2
  • 57
    • 4143063697 scopus 로고    scopus 로고
    • Use of Hyperspectral Derivative Ratios in the Red-Edge Region to Identify Plant Stress Responses to Gas Leaks
    • Smith, K. L., M. D. Steven, and J. J. Colls. 2004. “Use of Hyperspectral Derivative Ratios in the Red-Edge Region to Identify Plant Stress Responses to Gas Leaks.” Remote Sensing of Environment 92: 207–217. doi:10.1016/j.rse.2004.06.002.
    • (2004) Remote Sensing of Environment , vol.92 , pp. 207-217
    • Smith, K.L.1    Steven, M.D.2    Colls, J.J.3
  • 58
    • 0033097007 scopus 로고    scopus 로고
    • Texture Analysis of SAR Sea Ice Imagery Using Gray Level Co-Occurrence Matrices
    • Soh, L.-K., and C. Tsatsoulis. 1999. “Texture Analysis of SAR Sea Ice Imagery Using Gray Level Co-Occurrence Matrices.” IEEE Transactions on Geoscience and Remote Sensing 37 (2): 780–795. doi:10.1109/36.752194.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.2 , pp. 780-795
    • Soh, L.-K.1    Tsatsoulis, C.2
  • 59
    • 84878372022 scopus 로고    scopus 로고
    • Urban Vegetation Classification: Benefits of Multi-Temporal Rapideye Satellite Data
    • Tigges, J., T. Lakes, and P. Hostert. 2013. “Urban Vegetation Classification: Benefits of Multi-Temporal Rapideye Satellite Data.” Remote Sensing of Environment 136: 66–75. doi:10.1016/j.rse.2013.05.001.
    • (2013) Remote Sensing of Environment , vol.136 , pp. 66-75
    • Tigges, J.1    Lakes, T.2    Hostert, P.3
  • 60
    • 40049090853 scopus 로고    scopus 로고
    • Using Colour, Texture, and Hierarchial Segmentation for High-Resolution Remote Sensing
    • Trias-Sanz, R., G. Stamon, and J. Louchet. 2008. “Using Colour, Texture, and Hierarchial Segmentation for High-Resolution Remote Sensing.” ISPRS Journal of Photogrammetry and Remote Sensing 63 (2): 156–168. doi:10.1016/j.isprsjprs.2007.08.005.
    • (2008) ISPRS Journal of Photogrammetry and Remote Sensing , vol.63 , Issue.2 , pp. 156-168
    • Trias-Sanz, R.1    Stamon, G.2    Louchet, J.3
  • 61
    • 80052605845 scopus 로고    scopus 로고
    • Muenchen: Trimble Germany GmbH
    • Trimble. 2010. Ecognition Developer 8.64.0: User Guide, 106–123. Muenchen: Trimble Germany GmbH.
    • (2010) Ecognition Developer 8.64.0: User Guide , pp. 106-123
  • 64
    • 29244490029 scopus 로고    scopus 로고
    • Mapping Paddy Rice Agriculture in South and Southeast Asia Using Multi-Temporal MODIS Images
    • Xiao, X., S. Boles, S. Frolking, C. Li, J. Y. Babu, W. Salas, and B. Moore III. 2006. “Mapping Paddy Rice Agriculture in South and Southeast Asia Using Multi-Temporal MODIS Images.” Remote Sensing of Environment 100: 95–113. doi:10.1016/j.rse.2005.10.004.
    • (2006) Remote Sensing of Environment , vol.100 , pp. 95-113
    • Xiao, X.1    Boles, S.2    Frolking, S.3    Li, C.4    Babu, J.Y.5    Salas, W.6    Moore, B.7
  • 65
    • 0037411236 scopus 로고    scopus 로고
    • Predicting Regional Rice Production in South Korea Using Spatial Data and Crop-Growth Modeling
    • Yun, J. I. 2003. “Predicting Regional Rice Production in South Korea Using Spatial Data and Crop-Growth Modeling.” Agricultural Systems 77: 23–38. doi:10.1016/S0308-521X(02)00084-7.
    • (2003) Agricultural Systems , vol.77 , pp. 23-38
    • Yun, J.I.1


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