메뉴 건너뛰기




Volumn 7, Issue 11, 2015, Pages 14482-14508

Self-guided segmentation and classification of multi-temporal Landsat 8 images for crop type mapping in Southeastern Brazil

Author keywords

Brazil; Crop mapping; Multi resolution segmentation; OBIA; OLI; Random forest

Indexed keywords

CROPS; DECISION TREES; IMAGE SEGMENTATION; MAPPING; OILSEEDS; PIXELS; PLANTS (BOTANY); SAMPLING;

EID: 84950112053     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs71114482     Document Type: Article
Times cited : (89)

References (80)
  • 1
    • 84874788283 scopus 로고    scopus 로고
    • Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs
    • Atzberger, C. Advances in remote sensing of agriculture: Context description, existing operational monitoring systems and major information needs. Remote Sens. 2013, 5, 949-981.
    • (2013) Remote Sens , vol.5 , pp. 949-981
    • Atzberger, C.1
  • 4
    • 80052548720 scopus 로고    scopus 로고
    • Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices
    • Arvor, D.; Meirelles, M.; Dubreuil, V.; Bégué, A.; Shimabukuro, Y.E. Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices. Appl. Geogr. 2012, 32, 702-713.
    • (2012) Appl. Geogr , vol.32 , pp. 702-713
    • Arvor, D.1    Meirelles, M.2    Dubreuil, V.3    Bégué, A.4    Shimabukuro, Y.E.5
  • 5
    • 82055186457 scopus 로고    scopus 로고
    • Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil
    • Arvor, D.; Jonathan, M.; Meirelles, M.S.P.; Dubreuil, V.; Durieux, L. Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil. Int. J. Remote Sens. 2011, 32, 7847-7871.
    • (2011) Int. J. Remote Sens , vol.32 , pp. 7847-7871
    • Arvor, D.1    Jonathan, M.2    Meirelles, M.S.P.3    Dubreuil, V.4    Durieux, L.5
  • 6
    • 0037431411 scopus 로고    scopus 로고
    • Landsat-5 Thematic Mapper data for pre-planting crop area evaluation in tropical countries
    • Ippoliti-Ramilo, G.A.; Epiphanio, J.C.N.; Shimabukuro, Y.E. Landsat-5 Thematic Mapper data for pre-planting crop area evaluation in tropical countries. Int. J. Remote Sens. 2003, 24, 1521-1534.
    • (2003) Int. J. Remote Sens , vol.24 , pp. 1521-1534
    • Ippoliti-Ramilo, G.A.1    Epiphanio, J.C.N.2    Shimabukuro, Y.E.3
  • 7
    • 33750046452 scopus 로고    scopus 로고
    • Estimativa da área de soja no Rio Grande do Sul por meio de imagens Landsat
    • Rizzi, R.; Rudorff, B.F.T. Estimativa da área de soja no Rio Grande do Sul por meio de imagens Landsat. Rev. Bras. Cartogr. 2005, 3, 226-234.
    • (2005) Rev. Bras. Cartogr , vol.3 , pp. 226-234
    • Rizzi, R.1    Rudorff, B.F.T.2
  • 8
    • 65249128571 scopus 로고    scopus 로고
    • Viabilidade de uso de imagens do Landsat em mapeamento de área cultivada com soja no Estado do Paraná
    • Sugawara, L.M.; Rudorff, B.F.T.; Adami, M. Viabilidade de uso de imagens do Landsat em mapeamento de área cultivada com soja no Estado do Paraná. Pesqui. Agropecuária Bras. 2008, 43, 1763-1768.
    • (2008) Pesqui. Agropecuária Bras , vol.43 , pp. 1763-1768
    • Sugawara, L.M.1    Rudorff, B.F.T.2    Adami, M.3
  • 9
    • 84861335868 scopus 로고    scopus 로고
    • Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas
    • Vieira, M.A.; Formaggio, A.R.; Rennó, C.D.; Atzberger, C.; Aguiar, D.A.; Mello, M.P. Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas. Remote Sens. Environ. 2012, 123, 553-562.
    • (2012) Remote Sens. Environ , vol.123 , pp. 553-562
    • Vieira, M.A.1    Formaggio, A.R.2    Rennó, C.D.3    Atzberger, C.4    Aguiar, D.A.5    Mello, M.P.6
  • 10
    • 84860390393 scopus 로고    scopus 로고
    • Studies on the rapid expansion of sugarcane for ethanol production in São Paulo State (Brazil) using Landsat data
    • Rudorff, B.F.T.; Aguiar, D.A.; Silva, W.F.; Sugawara, L.M.; Adami, M.; Moreira, M.A. Studies on the rapid expansion of sugarcane for ethanol production in São Paulo State (Brazil) using Landsat data. Remote Sens. 2010, 2, 1057-1076.
    • (2010) Remote Sens , vol.2 , pp. 1057-1076
    • Rudorff, B.F.T.1    Aguiar, D.A.2    Silva, W.F.3    Sugawara, L.M.4    Adami, M.5    Moreira, M.A.6
  • 13
    • 84870666272 scopus 로고    scopus 로고
    • Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data
    • Brown, J.C.; Kastens, J.H.; Coutinho, A.C.; Victoria, D. de C.; Bishop, C.R. Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data. Remote Sens. Environ. 2013, 130, 39-50.
    • (2013) Remote Sens. Environ , vol.130 , pp. 39-50
    • Brown, J.C.1    Kastens, J.H.2    Coutinho, A.C.3    Victoria, D.C.4    Bishop, C.R.5
  • 14
    • 38049035787 scopus 로고    scopus 로고
    • Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil
    • Galford, G.L.; Mustard, J.F.; Melillo, J.; Gendrin, A.; Cerri, C.C.; Cerri, C.E.P. Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil. Remote Sens. Environ. 2008, 112, 576-587.
    • (2008) Remote Sens. Environ , vol.112 , pp. 576-587
    • Galford, G.L.1    Mustard, J.F.2    Melillo, J.3    Gendrin, A.4    Cerri, C.C.5    Cerri, C.E.P.6
  • 15
    • 84877678838 scopus 로고    scopus 로고
    • Using low resolution satellite imagery for yield prediction and yield anomaly detection
    • Rembold, F.; Atzberger, C.; Savin, I.; Rojas, O. Using low resolution satellite imagery for yield prediction and yield anomaly detection. Remote Sens. 2013, 5, 1704-1733.
    • (2013) Remote Sens , vol.5 , pp. 1704-1733
    • Rembold, F.1    Atzberger, C.2    Savin, I.3    Rojas, O.4
  • 16
    • 49449089546 scopus 로고    scopus 로고
    • Mapeamento de semeaduras de soja (Glycine max (L.) Merr.) mediante dados MODIS/Terra e TM/Landsat 5: um comparativo
    • Lamparelli, R.A.; de Carvalho, W.M.; Mercante, E. Mapeamento de semeaduras de soja (Glycine max (L.) Merr.) mediante dados MODIS/Terra e TM/Landsat 5: um comparativo. Eng. Agríc. 2008, 28, 334-344.
    • (2008) Eng. Agríc , vol.28 , pp. 334-344
    • Lamparelli, R.A.1    de Carvalho, W.M.2    Mercante, E.3
  • 17
    • 33846457378 scopus 로고    scopus 로고
    • Spectral-temporal response surface of MODIS sensor images for soybean area classification in Rio Grande do Sul State
    • Rudorff, C.M.; Rizzi, R.; Rudorff, B.F.T.; Sugawara, L.M.; Vieira, C.A.O. Spectral-temporal response surface of MODIS sensor images for soybean area classification in Rio Grande do Sul State. Ciênc. Rural 2007, 37, 118-125.
    • (2007) Ciênc. Rural , vol.37 , pp. 118-125
    • Rudorff, C.M.1    Rizzi, R.2    Rudorff, B.F.T.3    Sugawara, L.M.4    Vieira, C.A.O.5
  • 18
    • 40449086791 scopus 로고    scopus 로고
    • Identificação e mapeamento de áreas de milho na região sul do Brasil utilizando imagens MODIS
    • Yi, J.L.; Shimabukuro, Y.E.; Quintanilha, J.A. Identificação e mapeamento de áreas de milho na região sul do Brasil utilizando imagens MODIS. Eng. Agríc. 2007, 27, 753-763.
    • (2007) Eng. Agríc , vol.27 , pp. 753-763
    • Yi, J.L.1    Shimabukuro, Y.E.2    Quintanilha, J.A.3
  • 19
    • 84900653715 scopus 로고    scopus 로고
    • Amostragem por pontos em imagens de sensoriamento remoto para estimativa de área plantada por município
    • Luiz, A.J.B.; Epiphanio, J.C.N. Amostragem por pontos em imagens de sensoriamento remoto para estimativa de área plantada por município. Simpósio Bras. Sensoriamento Remoto 2001, 10, 111-118.
    • (2001) Simpósio Bras. Sensoriamento Remoto , vol.10 , pp. 111-118
    • Luiz, A.J.B.1    Epiphanio, J.C.N.2
  • 20
    • 84897066330 scopus 로고    scopus 로고
    • Obtaining crop-specific time profiles of NDVI: the use of unmixing approaches for serving the continuity between SPOT-VGT and PROBA-V time series
    • Atzberger, C.; Formaggio, A.R.; Shimabukuro, Y.E.; Udelhoven, T.; Mattiuzzi, M.; Sanchez, G.A.; Arai, E. Obtaining crop-specific time profiles of NDVI: the use of unmixing approaches for serving the continuity between SPOT-VGT and PROBA-V time series. Int. J. Remote Sens. 2014, 35, 2615-2638.
    • (2014) Int. J. Remote Sens , vol.35 , pp. 2615-2638
    • Atzberger, C.1    Formaggio, A.R.2    Shimabukuro, Y.E.3    Udelhoven, T.4    Mattiuzzi, M.5    Sanchez, G.A.6    Arai, E.7
  • 21
    • 5044236302 scopus 로고    scopus 로고
    • Cropland distributions from temporal unmixing of MODIS data
    • Lobell, D.B.; Asner, G.P. Cropland distributions from temporal unmixing of MODIS data. Remote Sens. Environ. 2004, 93, 412-422.
    • (2004) Remote Sens. Environ , vol.93 , pp. 412-422
    • Lobell, D.B.1    Asner, G.P.2
  • 22
    • 77949486575 scopus 로고    scopus 로고
    • The spatial distribution of crop types from MODIS data: Temporal unmixing using Independent Component Analysis
    • Ozdogan, M. The spatial distribution of crop types from MODIS data: Temporal unmixing using Independent Component Analysis. Remote Sens. Environ. 2010, 114, 1190-1204.
    • (2010) Remote Sens. Environ , vol.114 , pp. 1190-1204
    • Ozdogan, M.1
  • 23
    • 33746932125 scopus 로고    scopus 로고
    • On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance
    • Gao, F.; Masek, J.; Schwaller, M.; Hall, F. On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance. IEEE Trans. Geosci. Remote Sens. 2006, 44, 2207-2218.
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , pp. 2207-2218
    • Gao, F.1    Masek, J.2    Schwaller, M.3    Hall, F.4
  • 24
    • 67651113818 scopus 로고    scopus 로고
    • Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model
    • Hilker, T.; Wulder, M.A.; Coops, N.C.; Seitz, N.; White, J.C.; Gao, F.; Masek, J.G.; Stenhouse, G. Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model. Remote Sens. Environ. 2009, 113, 1988-1999.
    • (2009) Remote Sens. Environ , vol.113 , pp. 1988-1999
    • Hilker, T.1    Wulder, M.A.2    Coops, N.C.3    Seitz, N.4    White, J.C.5    Gao, F.6    Masek, J.G.7    Stenhouse, G.8
  • 25
    • 84857241872 scopus 로고    scopus 로고
    • Evaluation of long-term NDVI time series derived from Landsat data through blending with MODIS data
    • Singh, D. Evaluation of long-term NDVI time series derived from Landsat data through blending with MODIS data. Atmósfera 2012, 25, 43-63.
    • (2012) Atmósfera , vol.25 , pp. 43-63
    • Singh, D.1
  • 26
    • 84885433268 scopus 로고    scopus 로고
    • Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model
    • Wu, M.; Niu, Z.; Wang, C.; Wu, C.; Wang, L. Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model. J. Appl. Remote Sens. 2012, 6, 063507-1.
    • (2012) J. Appl. Remote Sens , vol.6
    • Wu, M.1    Niu, Z.2    Wang, C.3    Wu, C.4    Wang, L.5
  • 28
    • 37249005228 scopus 로고    scopus 로고
    • Moderate resolution remote sensing alternatives: A review of Landsat-like sensors and their applications
    • Powell, S.L.; Pflugmacher, D.; Kirschbaum, A.A.; Kim, Y.; Cohen, W.B. Moderate resolution remote sensing alternatives: A review of Landsat-like sensors and their applications. J. Appl. Remote Sens. 2007, doi:10.1117/1.2819342.
    • (2007) J. Appl. Remote Sens
    • Powell, S.L.1    Pflugmacher, D.2    Kirschbaum, A.A.3    Kim, Y.4    Cohen, W.B.5
  • 29
    • 84928776537 scopus 로고    scopus 로고
    • Meeting earth observation requirements for global agricultural monitoring: An evaluation of the revisit capabilities of current and planned moderate resolution optical earth observing missions
    • Whitcraft, A.K.; Becker-Reshef, I.; Killough, B.D.; Justice, C.O. Meeting earth observation requirements for global agricultural monitoring: An evaluation of the revisit capabilities of current and planned moderate resolution optical earth observing missions. Remote Sens. 2015, 7, 1482-1503.
    • (2015) Remote Sens , vol.7 , pp. 1482-1503
    • Whitcraft, A.K.1    Becker-Reshef, I.2    Killough, B.D.3    Justice, C.O.4
  • 30
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • Blaschke, T. Object based image analysis for remote sensing. ISPRS J. Photogramm. Remote Sens. 2010, 65, 2-16.
    • (2010) ISPRS J. Photogramm. Remote Sens , vol.65 , pp. 2-16
    • Blaschke, T.1
  • 31
    • 84455200427 scopus 로고    scopus 로고
    • A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
    • Duro, D.C.; Franklin, S.E.; Dubé, M.G. A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery. Remote Sens. Environ. 2012, 118, 259-272.
    • (2012) Remote Sens. Environ , vol.118 , pp. 259-272
    • Duro, D.C.1    Franklin, S.E.2    Dubé, M.G.3
  • 32
    • 85022076596 scopus 로고    scopus 로고
    • Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline
    • Blaschke, T., Lang, S., Hay, G.J., Eds.; Lecture Notes in Geoinformation and Cartography; Springer: Berlin/Heidelberg, Germany
    • Hay, G.J.; Castilla, G. Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline. In Object-Based Image Analysis; Blaschke, T., Lang, S., Hay, G.J., Eds.; Lecture Notes in Geoinformation and Cartography; Springer: Berlin/Heidelberg, Germany, 2008; pp. 75-89.
    • (2008) Object-Based Image Analysis , pp. 75-89
    • Hay, G.J.1    Castilla, G.2
  • 33
    • 84907466218 scopus 로고    scopus 로고
    • Defining the spatial resolution requirements for crop identification using optical remote sensing
    • Löw, F.; Duveiller, G. Defining the spatial resolution requirements for crop identification using optical remote sensing. Remote Sens. 2014, 6, 9034-9063.
    • (2014) Remote Sens , vol.6 , pp. 9034-9063
    • Löw, F.1    Duveiller, G.2
  • 34
    • 79952070569 scopus 로고    scopus 로고
    • Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
    • Myint, S.W.; Gober, P.; Brazel, A.; Grossman-Clarke, S.; Weng, Q. Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sens. Environ. 2011, 115, 1145-1161.
    • (2011) Remote Sens. Environ , vol.115 , pp. 1145-1161
    • Myint, S.W.1    Gober, P.2    Brazel, A.3    Grossman-Clarke, S.4    Weng, Q.5
  • 35
    • 84877269540 scopus 로고    scopus 로고
    • Texturanalyse mittels diskreter Wavelet Transformation für die objektbasierte Klassifikation von Orthophotos
    • Toscani, P.; Immitzer, M.; Atzberger, C. Texturanalyse mittels diskreter Wavelet Transformation für die objektbasierte Klassifikation von Orthophotos. Photogramm. Fernerkund. Geoinf. 2013, 2, 105-121.
    • (2013) Photogramm. Fernerkund. Geoinf , vol.2 , pp. 105-121
    • Toscani, P.1    Immitzer, M.2    Atzberger, C.3
  • 36
    • 84899887566 scopus 로고    scopus 로고
    • Support vector machine classification of object-based data for crop mapping, using multi-temporal Landsat imagery
    • Devadas, R.; Denham, R.J.; Pringle, M. Support vector machine classification of object-based data for crop mapping, using multi-temporal Landsat imagery. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2012, 39, 185-190.
    • (2012) Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci , vol.39 , pp. 185-190
    • Devadas, R.1    Denham, R.J.2    Pringle, M.3
  • 37
    • 84867594546 scopus 로고    scopus 로고
    • Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods
    • Dronova, I.; Gong, P.; Clinton, N.E.; Wang, L.; Fu, W.; Qi, S.; Liu, Y. Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods. Remote Sens. Environ. 2012, 127, 357-369.
    • (2012) Remote Sens. Environ , vol.127 , pp. 357-369
    • Dronova, I.1    Gong, P.2    Clinton, N.E.3    Wang, L.4    Fu, W.5    Qi, S.6    Liu, Y.7
  • 38
    • 84873136944 scopus 로고    scopus 로고
    • Object Based Image Analysis (OBIA) and Data Mining (DM) in Landsat time series for mapping soybean in intensive agricultural regions
    • Munich, Germany, 22-27 July
    • Formaggio, A.R.; Vieira, M.A.; Renno, C.D. Object Based Image Analysis (OBIA) and Data Mining (DM) in Landsat time series for mapping soybean in intensive agricultural regions. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July 2012; pp. 2257-2260.
    • (2012) Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , pp. 2257-2260
    • Formaggio, A.R.1    Vieira, M.A.2    Renno, C.D.3
  • 40
    • 84883510217 scopus 로고    scopus 로고
    • Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest
    • Long, J.A.; Lawrence, R.L.; Greenwood, M.C.; Marshall, L.; Miller, P.R. Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest. GIScience Remote Sens. 2013, 50, 418-436.
    • (2013) GIScience Remote Sens , vol.50 , pp. 418-436
    • Long, J.A.1    Lawrence, R.L.2    Greenwood, M.C.3    Marshall, L.4    Miller, P.R.5
  • 41
    • 79953182966 scopus 로고    scopus 로고
    • Object-based crop identification using multiple vegetation indices, textural features and crop phenology
    • Peña-Barragán, J.M.; Ngugi, M.K.; Plant, R.E.; Six, J. Object-based crop identification using multiple vegetation indices, textural features and crop phenology. Remote Sens. Environ. 2011, 115, 1301-1316.
    • (2011) Remote Sens. Environ , vol.115 , pp. 1301-1316
    • Peña-Barragán, J.M.1    Ngugi, M.K.2    Plant, R.E.3    Six, J.4
  • 44
    • 77952604955 scopus 로고    scopus 로고
    • Mapping diversified peri-urban agriculture-Potential of object-based versus per-field land cover/land use classification
    • Forster, D.; Kellenberger, T.W.; Buehler, Y.; Lennartz, B. Mapping diversified peri-urban agriculture-Potential of object-based versus per-field land cover/land use classification. Geocarto Int. 2010, 25, 171-186.
    • (2010) Geocarto Int , vol.25 , pp. 171-186
    • Forster, D.1    Kellenberger, T.W.2    Buehler, Y.3    Lennartz, B.4
  • 45
    • 0037235942 scopus 로고    scopus 로고
    • Strategies for image segmentation combining region and boundary information
    • Muñoz, X.; Freixenet, J.; Cufí, X.; Martí, J. Strategies for image segmentation combining region and boundary information. Pattern Recognit. Lett. 2003, 24, 375-392.
    • (2003) Pattern Recognit. Lett , vol.24 , pp. 375-392
    • Muñoz, X.1    Freixenet, J.2    Cufí, X.3    Martí, J.4
  • 46
    • 84893445992 scopus 로고    scopus 로고
    • Automated crop field extraction from multi-temporal Web Enabled Landsat Data
    • Yan, L.; Roy, D.P. Automated crop field extraction from multi-temporal Web Enabled Landsat Data. Remote Sens. Environ. 2014, 144, 42-64.
    • (2014) Remote Sens. Environ , vol.144 , pp. 42-64
    • Yan, L.1    Roy, D.P.2
  • 47
    • 0001812168 scopus 로고    scopus 로고
    • Multiresolution Segmentation: An optimization approach for high quality multi-scale image segmentation
    • Strobl, J., Blaschke, T., Griesebner, G., Eds.; Wichmann Verlag: Karlsruhe, Germany
    • Baatz, M.; Schäpe, A. Multiresolution Segmentation: An optimization approach for high quality multi-scale image segmentation. In Angewandte Geographische Informationsverarbeitung XII; Strobl, J., Blaschke, T., Griesebner, G., Eds.; Wichmann Verlag: Karlsruhe, Germany, 2000; pp. 12-23.
    • (2000) Angewandte Geographische Informationsverarbeitung XII , pp. 12-23
    • Baatz, M.1    Schäpe, A.2
  • 48
    • 79955383550 scopus 로고    scopus 로고
    • Assessing object-based classification: Advantages and limitations
    • Liu, D.; Xia, F. Assessing object-based classification: Advantages and limitations. Remote Sens. Lett. 2010, 1, 187-194.
    • (2010) Remote Sens. Lett , vol.1 , pp. 187-194
    • Liu, D.1    Xia, F.2
  • 49
    • 79960743609 scopus 로고    scopus 로고
    • Object-oriented mapping of landslides using Random Forests
    • Stumpf, A.; Kerle, N. Object-oriented mapping of landslides using Random Forests. Remote Sens. Environ. 2011, 115, 2564-2577.
    • (2011) Remote Sens. Environ , vol.115 , pp. 2564-2577
    • Stumpf, A.1    Kerle, N.2
  • 50
    • 84857679726 scopus 로고    scopus 로고
    • A hybrid method combining SOM-based clustering and object-based analysis for identifying land in good agricultural condition
    • Tasdemir, K.; Milenov, P.; Tapsall, B. A hybrid method combining SOM-based clustering and object-based analysis for identifying land in good agricultural condition. Comput. Electron. Agric. 2012, 83, 92-101.
    • (2012) Comput. Electron. Agric , vol.83 , pp. 92-101
    • Tasdemir, K.1    Milenov, P.2    Tapsall, B.3
  • 52
    • 67650654921 scopus 로고    scopus 로고
    • Mean shift-based clustering analysis of multispectral remote sensing imagery
    • Bo, S.; Ding, L.; Li, H.; Di, F.; Zhu, C. Mean shift-based clustering analysis of multispectral remote sensing imagery. Int. J. Remote Sens. 2009, 30, 817-827.
    • (2009) Int. J. Remote Sens , vol.30 , pp. 817-827
    • Bo, S.1    Ding, L.2    Li, H.3    Di, F.4    Zhu, C.5
  • 53
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • Comaniciu, D.; Meer, P. Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell. 2002, 24, 603-619.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell , vol.24 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 54
    • 0001722484 scopus 로고
    • The watershed transformation applied to image segmentation
    • Beucher, S. The watershed transformation applied to image segmentation. Scanning Microsc. Suppl. 1992, 6, 299-299.
    • (1992) Scanning Microsc. Suppl , vol.6 , pp. 299-299
    • Beucher, S.1
  • 55
    • 84879983002 scopus 로고    scopus 로고
    • Survey of contemporary trends in color image segmentation
    • Vantaram, S.R.; Saber, E. Survey of contemporary trends in color image segmentation. J. Electron. Imaging 2012, doi:10.1117/1.JEI.21.4.040901.
    • (2012) J. Electron. Imaging
    • Vantaram, S.R.1    Saber, E.2
  • 57
    • 84890127726 scopus 로고    scopus 로고
    • Optimization of object-based image analysis with random forests for land cover mapping
    • Stefanski, J.; Mack, B.; Waske, B. Optimization of object-based image analysis with random forests for land cover mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2013, 6, 2492-2504.
    • (2013) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens , vol.6 , pp. 2492-2504
    • Stefanski, J.1    Mack, B.2    Waske, B.3
  • 58
    • 84950136735 scopus 로고    scopus 로고
    • (accessed on 8 March 2015)
    • IBGE Sistema IBGE de Recuperação Automática. Available online: http://www.sidra.ibge.gov.br (accessed on 8 March 2015).
  • 60
    • 84856707141 scopus 로고    scopus 로고
    • Remote sensing images in support of environmental protocol: Monitoring the sugarcane harvest in São Paulo State, Brazil
    • Aguiar, D.A.; Rudorff, B.F.T.; Silva, W.F.; Adami, M.; Mello, M.P. Remote sensing images in support of environmental protocol: Monitoring the sugarcane harvest in São Paulo State, Brazil. Remote Sens. 2011, 3, 2682-2703.
    • (2011) Remote Sens , vol.3 , pp. 2682-2703
    • Aguiar, D.A.1    Rudorff, B.F.T.2    Silva, W.F.3    Adami, M.4    Mello, M.P.5
  • 62
    • 84950155085 scopus 로고    scopus 로고
    • (accessed on 8 March 2015)
    • IEA Intituto de economia agricola: área e Produção de milho de primeira safra, de segunda safra e irrigado, em 2014, no estado de São Paulo. Available online: http://ciagri.iea.sp.gov.br/nia1/(accessed on 8 March 2015).
  • 64
    • 0034655827 scopus 로고    scopus 로고
    • Land cover mapping of large areas from satellites: Status and research priorities
    • Cihlar, J. Land cover mapping of large areas from satellites: Status and research priorities. Int. J. Remote Sens. 2000, 21, 1093-1114.
    • (2000) Int. J. Remote Sens , vol.21 , pp. 1093-1114
    • Cihlar, J.1
  • 65
    • 84950105971 scopus 로고    scopus 로고
    • (accessed Mar 8, 2015)
    • INPE. Available online: http://cbers2.dpi.inpe.br/(accessed Mar 8, 2015).
  • 66
    • 79952983266 scopus 로고    scopus 로고
    • Culturas agrícolas em imagens multitemporais do satélite Landsat
    • Sanches, I.D.; Epiphanio, J.C.N.; Formaggio, A.R. Culturas agrícolas em imagens multitemporais do satélite Landsat. Agric. Em São Paulo 2005, 52, 83-96.
    • (2005) Agric. Em São Paulo , vol.52 , pp. 83-96
    • Sanches, I.D.1    Epiphanio, J.C.N.2    Formaggio, A.R.3
  • 67
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. Random forests. Mach. Learn. 2001, 45, 5-32.
    • (2001) Mach. Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 68
    • 84870760985 scopus 로고    scopus 로고
    • Tree species classification with Random Forest using very high spatial resolution 8-band WorldView-2 satellite data
    • Immitzer, M.; Atzberger, C.; Koukal, T. Tree species classification with Random Forest using very high spatial resolution 8-band WorldView-2 satellite data. Remote Sens. 2012, 4, 2661-2693.
    • (2012) Remote Sens , vol.4 , pp. 2661-2693
    • Immitzer, M.1    Atzberger, C.2    Koukal, T.3
  • 69
    • 13344278660 scopus 로고    scopus 로고
    • Random forest classifier for remote sensing classification
    • Pal, M. Random forest classifier for remote sensing classification. Int. J. Remote Sens. 2005, 26, 217-222.
    • (2005) Int. J. Remote Sens , vol.26 , pp. 217-222
    • Pal, M.1
  • 71
    • 69849104695 scopus 로고    scopus 로고
    • Classifier ensembles for land cover mapping using multitemporal SAR imagery
    • Waske, B.; Braun, M. Classifier ensembles for land cover mapping using multitemporal SAR imagery. ISPRS J. Photogramm. Remote Sens. 2009, 64, 450-457.
    • (2009) ISPRS J. Photogramm. Remote Sens , vol.64 , pp. 450-457
    • Waske, B.1    Braun, M.2
  • 72
    • 84910155496 scopus 로고    scopus 로고
    • Early Detection of Bark Beetle Infestation in Norway Spruce (Picea abies, L.) using WorldView-2 Data
    • Immitzer, M.; Atzberger, C. Early Detection of Bark Beetle Infestation in Norway Spruce (Picea abies, L.) using WorldView-2 Data. Photogramm. Fernerkund. Geoinf. 2014, 2014, 351-367.
    • (2014) Photogramm. Fernerkund. Geoinf , vol.2014 , pp. 351-367
    • Immitzer, M.1    Atzberger, C.2
  • 75
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I.; Weston, J.; Barnhill, S.; Vapnik, V. Gene selection for cancer classification using support vector machines. Mach. Learn. 2002, 46, 389-422.
    • (2002) Mach. Learn , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 76
    • 84910150542 scopus 로고    scopus 로고
    • Improving land cover maps in areas of disagreement of existing products using NDVI time series of MODIS-Example for Europe
    • Vuolo, F.; Atzberger, C. Improving land cover maps in areas of disagreement of existing products using NDVI time series of MODIS-Example for Europe. Photogramm. Fernerkund. Geoinf. 2014, 2014, 393-407.
    • (2014) Photogramm. Fernerkund. Geoinf , vol.2014 , pp. 393-407
    • Vuolo, F.1    Atzberger, C.2
  • 78
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomForest
    • Liaw, A.; Wiener, M. Classification and regression by randomForest. R News 2002, 2, 18-22.
    • (2002) R News , vol.2 , pp. 18-22
    • Liaw, A.1    Wiener, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.