Time series-based classifier fusion for fine-grained plant species recognition
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Jurandy Almeida | Anderson Rocha | Ricardo da Silva Torres | Bruna Alberton | Leonor Patricia C. Morellato | Fábio Augusto Faria
[1] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[2] Anderson Rocha,et al. A framework for selection and fusion of pattern classifiers in multimedia recognition , 2014, Pattern Recognit. Lett..
[3] Guy Lapalme,et al. A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..
[4] Res Altwegg,et al. Phenological Changes in the Southern Hemisphere , 2013, PloS one.
[5] Jurandy Almeida,et al. Plant Species Identification with Phenological Visual Rhythms , 2013, 2013 IEEE 9th International Conference on e-Science.
[6] G. Meyer,et al. Color indices for weed identification under various soil, residue, and lighting conditions , 1994 .
[7] Ching Y. Suen,et al. Application of majority voting to pattern recognition: an analysis of its behavior and performance , 1997, IEEE Trans. Syst. Man Cybern. Part A.
[8] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[9] W. Verhoef,et al. PROSPECT+SAIL models: A review of use for vegetation characterization , 2009 .
[10] Hervé Le Men,et al. Scale-Sets Image Analysis , 2005, International Journal of Computer Vision.
[11] Jurandy Almeida,et al. Deriving vegetation indices for phenology analysis using genetic programming , 2015, Ecol. Informatics.
[12] Ludmila I. Kuncheva,et al. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy , 2003, Machine Learning.
[13] D. Hollinger,et al. Use of digital webcam images to track spring green-up in a deciduous broadleaf forest , 2007, Oecologia.
[14] Andrew D Richardson,et al. Near-surface remote sensing of spatial and temporal variation in canopy phenology. , 2009, Ecological applications : a publication of the Ecological Society of America.
[15] Jurandy Almeida,et al. Shape-based time series analysis for remote phenology studies , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.
[16] Michel M. Verstraete,et al. Radiation transfer in plant canopies: Scattering of solar radiation and canopy reflectance , 1988 .
[17] Jurandy Almeida,et al. Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees , 2014, Ecol. Informatics.
[18] H. Wanner,et al. Tree phenology and carbon dioxide fluxes - use of digital photography for process-based interpretation at the ecosystem scale , 2009 .
[19] Jurandy Almeida,et al. Phenological Event Detection by Visual Rhythms Dissimilarity Analysis , 2014, 2014 IEEE 10th International Conference on e-Science.
[20] A FoxEdward,et al. A digital library framework for biodiversity information systems , 2006 .
[21] Jurandy Almeida,et al. Evaluation of Time Series Distance Functions in the Task of Detecting Remote Phenology Patterns , 2014, 2014 22nd International Conference on Pattern Recognition.
[22] L. Eklundh,et al. A physically based vegetation index for improved monitoring of plant phenology , 2014 .
[23] H. Mooney,et al. Shifting plant phenology in response to global change. , 2007, Trends in ecology & evolution.
[24] T. Kataoka,et al. Crop growth estimation system using machine vision , 2003, Proceedings 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2003).
[25] Edward A. Fox,et al. International Journal on Digital Libraries manuscript No. (will be inserted by the editor) A Digital Library Framework for Biodiversity Information Systems , 2022 .
[26] Jing Li Wang,et al. Color image segmentation: advances and prospects , 2001, Pattern Recognit..
[27] Jurandy Almeida,et al. Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation , 2014, Ecol. Informatics.
[28] F. Truchetet,et al. Crop/weed discrimination in perspective agronomic images , 2008 .
[29] Jurandy Almeida,et al. Visual rhythm-based time series analysis for phenology studies , 2013, 2013 IEEE International Conference on Image Processing.