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Articles

Land cover post-classifications by Markov chain geostatistical cosimulation based on pre-classifications by different conventional classifiers

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Pages 926-949 | Received 18 Jun 2015, Accepted 12 Jan 2016, Published online: 08 Feb 2016

References

  • Anderson, J. R., E. E. Hardy, J. T. Roach, and R. E. Witmer. 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. Washington, DC: US Geological Survey Professional Paper 964.
  • Barnsley, M. J., and S. L. Barr. 1996. “Inferring Urban Land Use from Satellite Sensor Images Using Kernel-Based Spatial Reclassification.” Photogrammetric Engineering and Remote Sensing 62 (8): 949–958.
  • Brown, M., S. R. Gunn, and H. G. Lewis. 1999. “Support Vector Machines for Optimal Classification and Spectral Unmixing.” Ecological Modelling 120 (2–3): 167–179. doi:10.1016/s0304-3800(99)00100-3.
  • Bruzzone, L., D. F. Prieto, and S. B. Serpico. 1999. “A Neural-Statistical Approach to Multitemporal and Multisource Remote-Sensing Image Classification.” IEEE Transactions on Geoscience and Remote Sensing 37 (3): 1350–1359. doi:10.1109/36.763299.
  • Carvalho, J., A. Soares, and A. Bio. 2006. “Improving Satellite Images Classification Using Remote and Ground Data Integration by Means of Stochastic Simulation.” International Journal of Remote Sensing 27 (16): 3375–3386. doi:10.1080/01431160600658099.
  • De Jong, S. M., T. Hornstra, and H.-G. Maas. 2001. “An Integrated Spatial and Spectral Approach to the Classification of Mediterranean Land Cover Types: The SSC Method.” International Journal of Applied Earth Observation and Geoinformation 3 (2): 176–183. doi:10.1016/S0303-2434(01)85009-1.
  • Debeir, O., I. Van Den Steen, P. Latinne, P. Van Ham, and E. Wolff. 2002. “Textural and Contextual Land-Cover Classification Using Single and Multiple Classifier Systems.” Photogrammetric Engineering and Remote Sensing 68 (6): 597–606.
  • Dobson, M. C., L. E. Pierce, and F. T. Ulaby. 1996. “Knowledge-Based Land-Cover Classification Using ERS-1/JERS-1 SAR Composites.” IEEE Transactions on Geoscience and Remote Sensing 34 (1): 83–99. doi:10.1109/36.481896.
  • Goovaerts, P. 2002. “Geostatistical Incorporation of Spatial Coordinates into Supervised Classification of Hyperspectral Data.” Journal of Geographical Systems 4 (1): 99–111. doi:10.1007/s101090100077.
  • Hsu, C.-W., and C.-J. Lin. 2002. “A Comparison of Methods for Multiclass Support Vector Machines.” IEEE Transactions on Neural Networks 13 (2): 415–425. doi:10.1109/72.991427.
  • Kuemmerle, T., V. C. Radeloff, K. Perzanowski, and P. Hostert. 2006. “Cross-Border Comparison of Land Cover and Landscape Pattern in Eastern Europe Using a Hybrid Classification Technique.” Remote Sensing of Environment 103 (4): 449–464. doi:10.1016/j.rse.2006.04.015.
  • Lambin, E. F., B. L. Turner, H. J. Geist, S. B. Agbola, A. Angelsen, J. W. Bruce, O. T. Coomes, R. Dirzo, G. Fischer, C. Folke, P. S. George, K. Homewood, J. Imbernon, R. Leemans, X. Li, E. F. Moran, M. Mortimore, P. S. Ramakrishnan, J. F. Richards, H. Skånes, W. Steffen, G. D. Stone, U. Svedin, T. A. Veldkamp, C. Vogel, and J. Xu. 2001. “The Causes of Land-Use and Land-Cover Change: Moving beyond the Myths.” Global Environmental Change 11 (4): 261–269. doi:10.1016/s0959-3780(01)00007-3.
  • Lawrence, P. J., and T. N. Chase. 2010. “Investigating the Climate Impacts of Global Land Cover Change in the Community Climate System Model.” International Journal of Climatology 30 (13): 2066–2087. doi:10.1002/joc.2061.
  • Li, W. 2007a. “Markov Chain Random Fields for Estimation of Categorical Variables.” Mathematical Geology 39 (3): 321–335. doi:10.1007/s11004-007-9081-0.
  • Li, W. 2007b. “Transiograms for Characterizing Spatial Variability of Soil Classes.” Soil Science Society of America Journal 71 (3): 881–893. doi:10.2136/sssaj2005.0132.
  • Li, W., and C. Zhang. 2007. “A Random-Path Markov Chain Algorithm for Simulating Categorical Soil Variables from Random Point Samples.” Soil Science Society of America Journal 71 (3): 656–668. doi:10.2136/sssaj2006.0173.
  • Li, W., and C. Zhang. 2010. “Linear Interpolation and Joint Model Fitting of Experimental Transiograms for Markov Chain Simulation of Categorical Spatial Variables.” International Journal of Geographical Information Science 24 (6): 821–839. doi:10.1080/13658810903127991.
  • Li, W., C. Zhang, D. K. Dey, and M. R. Willig. 2013. “Updating Categorical Soil Maps Using Limited Survey Data by Bayesian Markov Chain Cosimulation.” The Scientific World Journal 2013: 1–13. doi:10.1155/2013/587284.
  • Li, W., C. Zhang, M. R. Willig, D. K. Dey, G. Wang, and L. You. 2015. “Bayesian Markov Chain Random Field Cosimulation for Improving Land Cover Classification Accuracy.” Mathematical Geosciences 47 (2): 123–148. doi:10.1007/s11004-014-9553-y.
  • Li, X., Q. Meng, X. Gu, T. Jancso, T. Yu, K. Wang, and S. Mavromatis. 2013. “A Hybrid Method Combining Pixel-Based and Object-Oriented Methods and Its Application in Hungary Using Chinese HJ-1 Satellite Images.” International Journal of Remote Sensing 34 (13): 4655–4668. doi:10.1080/01431161.2013.780669.
  • Loveland, T. R., B. C. Reed, J. F. Brown, D. O. Ohlen, Z. Zhu, L. W. M. J. Yang, and J. W. Merchant. 2000. “Development of a Global Land Cover Characteristics Database and IGBP Discover from 1 Km AVHRR Data.” International Journal of Remote Sensing 21 (6–7): 1303–1330. doi:10.1080/014311600210191.
  • Lu, D., and Q. Weng. 2007. “A Survey of Image Classification Methods and Techniques for Improving Classification Performance.” International Journal of Remote Sensing 28 (5): 823–870. doi:10.1080/01431160600746456.
  • Manandhar, R., I. O. Odeh, and T. Ancev. 2009. “Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement.” Remote Sensing 1 (3): 330–344. doi:10.3390/rs1030330.
  • Mas, J.-F. 1999. “Monitoring Land-Cover Changes: A Comparison of Change Detection Techniques.” International Journal of Remote Sensing 20 (1): 139–152. doi:10.1080/014311699213659.
  • Murai, H., and S. Omatu. 1997. “Remote Sensing Image Analysis Using a Neural Network and Knowledge-Based Processing.” International Journal of Remote Sensing 18 (4): 811–828. doi:10.1080/014311697218773.
  • Park, N.-W., K.-H. Chi, and B.-D. Kwon. 2003. “Geostatistical Integration of Spectral and Spatial Information for Land-Cover Mapping Using Remote Sensing Data.” Geosciences Journal 7 (4): 335–341. doi:10.1007/bf02919565.
  • Schmidt, K. S., A. K. Skidmore, E. H. Kloosterman, H. Van Oosten, L. Kumar, and J. A. M. Janssen. 2004. “Mapping Coastal Vegetation Using an Expert System and Hyperspectral Imagery.” Photogrammetric Engineering & Remote Sensing 70 (6): 703–715. doi:10.14358/pers.70.6.703.
  • Shekhar, S., P. R. Schrater, R. R. Vatsavai, W. Wu, and S. Chawla. 2002. “Spatial Contextual Classification and Prediction Models for Mining Geospatial Data.” IEEE Transactions on Multimedia 4 (2): 174–188. doi:10.1109/tmm.2002.1017732.
  • Stefanov, W. L., M. S. Ramsey, and P. R. Christensen. 2001. “Monitoring Urban Land Cover Change: An Expert System Approach to Land Cover Classification of Semiarid to Arid Urban Centers.” Remote Sensing of Environment 77 (2): 173–185. doi:10.1016/s0034-4257(01)00204-8.
  • Tang, Y., P. M. Atkinson, N. A. Wardrop, and J. Zhang. 2013. “Multiple-Point Geostatistical Simulation for Post-Processing a Remotely Sensed Land Cover Classification.” Spatial Statistics 5: 69–84. doi:10.1016/j.spasta.2013.04.005.
  • Thapa, R. B., and Y. Murayama. 2009. “Urban Mapping, Accuracy, & Image Classification: A Comparison of Multiple Approaches in Tsukuba City, Japan.” Applied Geography 29 (1): 135–144. doi:10.1016/j.apgeog.2008.08.001.
  • US Geological Survey. 2012. “Frequently Asked Questions about the Landsat Missions.” http://landsat.usgs.gov/band_designations_landsat_satellites.php
  • Vaiphasa, C., A. K. Skidmore, and W. F. De Boer. 2006. “A Post-Classifier for Mangrove Mapping Using Ecological Data.” ISPRS Journal of Photogrammetry and Remote Sensing 61 (1): 1–10. doi:10.1016/j.isprsjprs.2006.05.005.
  • Van de Voorde, T., W. De Genst, and F. Canters. 2007. “Improving Pixel-Based VHR Land-Cover Classifications of Urban Areas with Post-Classification Techniques.” Photogrammetric Engineering and Remote Sensing 73 (9): 1017.
  • Wilkinson, G. G. 2005. “Results and Implications of a Study of Fifteen Years of Satellite Image Classification Experiments.” IEEE Transactions on Geoscience and Remote Sensing 43 (3): 433–440. doi:10.1109/tgrs.2004.837325.
  • Zhang, Y. 1999. “Optimisation of Building Detection in Satellite Images by Combining Multispectral Classification and Texture Filtering.” ISPRS Journal of Photogrammetry and Remote Sensing 54 (1): 50–60. doi:10.1016/s0924-2716(98)00027-6.
  • Zhang, Y. 2001. “Detection of Urban Housing Development by Fusing Multisensor Satellite Data and Performing Spatial Feature Post-Classification.” International Journal of Remote Sensing 22 (17): 3339–3355. doi:10.1080/01431160010031289.

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