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Keyword

maximum likelihood classification

Description: Maximum likelihood classification assigns observations to classes by choosing the class whose statistical model makes the observed data most probable, including in remote sensing.
OpenAlex ID: keywords/maximum-likelihood-classifier
An assessment of support vector machines for land cover classification
2002 · C. Huang, L. S. Davis, et al. · International Journal of Remote Sensing · 1,799
Decision tree classification of land cover from remotely sensed data
1997 · M.A. Friedl, C.E. Brodley · Remote Sensing of Environment · 1,542
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Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
2011 · Soe W. Myint, Patricia Gober, et al. · Remote Sensing of Environment · 1,240
Speaker identification and verification using Gaussian mixture speaker models
1995 · Douglas A. Reynolds · Speech Communication · 1,216
An assessment of the effectiveness of decision tree methods for land cover classification
2003 · Mahesh Pal, Paul M Mather · Remote Sensing of Environment · 1,144
Support vector machines for classification in remote sensing
2005 · M. Pal, P. M. Mather · International Journal of Remote Sensing · 1,092
NDVI-derived land cover classifications at a global scale
1994 · R. S. DEFRIES, J. R. G. TOWNSHEND · International Journal of Remote Sensing · 1,053
Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms
2009 · J.R. Otukei, T. Blaschke · International Journal of Applied Earth Observation and Geoinformation · 756
Assessment of image fusion procedures using entropy, image quality, and multispectral classification
2008 · J. Wesley Roberts, Jan A. van Aardt, et al. · Journal of Applied Remote Sensing · 751
Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution
1994 · J. S. LEE, M. R. GRUNES, et al. · International Journal of Remote Sensing · 751
Decision tree regression for soft classification of remote sensing data
2005 · M XU, P WATANACHATURAPORN, et al. · Remote Sensing of Environment · 607
A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research
2016 · Reza Khatami, Giorgos Mountrakis, et al. · Remote Sensing of Environment · 601
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A simple and effective method for filling gaps in Landsat ETM+ SLC-off images
2011 · Jin Chen, Xiaolin Zhu, et al. · Remote Sensing of Environment · 577
Maximum-likelihood classification for digital amplitude-phase modulations
2000 · Wen Wei, J.M. Mendel · IEEE Transactions on Communications · 564
Water body detection and delineation with Landsat TM data.
2000 · Paul Frazier, Kenneth Page · Photogrammetric Engineering & Remote Sensing · 532
Sum and Difference Histograms for Texture Classification
1986 · Michael Unser · IEEE Transactions on Pattern Analysis and Machine Intelligence · 529
Vehicle classification in distributed sensor networks
2004 · Marco F Duarte, Yu Hen Hu · Journal of Parallel and Distributed Computing · 501
Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan
2015 · Amna Butt, Rabia Shabbir, et al. · The Egyptian Journal of Remote Sensing and Space Science · 494
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Developments in Landsat Land Cover Classification Methods: A Review
2017 · Darius Phiri, Justin Morgenroth · Remote Sensing · 493
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Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement
2009 · Ramita Manandhar, Inakwu O. A. Odeh, et al. · Remote Sensing · 457
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The use of prior probabilities in maximum likelihood classification of remotely sensed data
1980 · Alan H. Strahler · Remote Sensing of Environment · 452
Unsupervised terrain classification preserving polarimetric scattering characteristics
2004 · Jong-Sen Lee, M.R. Grunes, et al. · IEEE Transactions on Geoscience and Remote Sensing · 450
Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach
2012 · Annemarie Schneider · Remote Sensing of Environment · 444
Classification trees: an alternative to traditional land cover classifiers
1996 · M. HANSEN, R. DUBAYAH, et al. · International Journal of Remote Sensing · 433
Selection of classification techniques for land use/land cover change investigation
2012 · Prashant K. Srivastava, Dawei Han, et al. · Advances in Space Research · 418
Works count: 6,972
Citation count: 107,200
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