Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and Autoencoders

No abstract is available for this paper.

• Publication year

  2015

• Venue

  IAPR International Conference on Machine Learning and Data Mining in Pattern Recognition

• Publication date

  2015-07-20

• Fields of study

  Geography, Computer Science, Environmental Science

• Identifiers
  DOI 10.1007/978-3-319-21024-7_13
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Biophysical Properties of Cultivated Pastures in the Brazilian Savanna Biome: An Analysis in the Spatial-Temporal Domains Based on Ground and Satellite Data

  2013cited by this paper
• Biophysical characteristics and fire occurrence of cultivated pastures in the Brazilian savanna observed by moderate resolution satellite data

  2013influential reference
• LIBSVM: A library for support vector machines

  2011cited by this paper
• A support vector domain method for change detection in multitemporal images

  2010cited by this paper
• The WEKA data mining software: an update

  2009cited by this paper
• Open Source Approaches in Spatial Data Handling

  2008cited by this paper
• TerraLib: An Open Source GIS Library for Large-Scale Environmental and Socio-Economic Applications

  2008cited by this paper
• Mapeamento semidetalhado do uso da terra do Bioma Cerrado

  2008cited by this paper
• Fitofisionomias do bioma Cerrado : síntese terminológica e relações florísticas

  2006cited by this paper
• CONVERSÃO DO CERRADO EM PASTAGENS CULTIVADAS E FUNCIONAMENTO DE LATOSSOLOS

  2005cited by this paper
• Conservation of the Brazilian Cerrado

  2005influential reference
• The Nature of Statistical Learning Theory

  2000cited by this paper
• Assessing the spatial distribution of cultivated pastures in the Brazilian savanna.

  2000cited by this paper
• Assessing the accuracy of remotely sensed data : principles and practices

  1998cited by this paper
• The multilayer perceptron as an approximation to a Bayes optimal discriminant function

  1990cited by this paper
• Red and photographic infrared linear combinations for monitoring vegetation

  1979cited by this paper

• Pasture monitoring using remote sensing and machine learning: A review of methods and applications

  2025cites this paper
• Dung beetles (Coleoptera: Scarabaeidae) in grazing lands of the Neotropics: A review of patterns and research trends of taxonomic and functional diversity, and functions

  2023cites this paper
• DATA FUSION STRATEGY FOR MAPPING ENVIRONMENT AND CLIMATE VARIABLES OF BRAZIL

  2022cites this paper
• Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah

  2021cites this paper
• Routes of Soil Uses and Conversions with the Main Crops in Brazilian Cerrado: A Scenario from 2000 to 2020

  2021cites this paper
• A Novel Approach Towards Fake News Detection: Deep Learning Augmented with Textual Entailment Features

  2019cites this paper
• Combining Time Series Features and Data Mining to Detect Land Cover patterns: a Case Study in Northern Mato Grosso State, Brazil

  2018cites this paper
• Textual Entailment Using Machine Translation Evaluation Metrics

  2017cites this paper
• Document Level Novelty Detection: Textual Entailment Lends a Helping Hand

  2017influential citation