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The pristine myth and the direct land use pattern in the region of Magellan's, Chilean Patagonia: Forestry, mining and aquaculture [El mito de pristinidad y los usos efectivos del territorio de la región de Magallanes, Patagonia Chilena: Forestal, minería y acuicultura]
(CSIC Consejo Superior de Investigaciones Cientificas, 2015)
Land-cover classification through sequential learning-based optimum-path forest
(2015-11-10)
Sequential learning-based pattern classification aims at providing more accurate labeled maps by adding an extra step of classification using an augmented feature vector. In this paper, we evaluated the robustness of ...
LAND-COVER CLASSIFICATION THROUGH SEQUENTIAL LEARNING-BASED OPTIMUM-PATH FOREST
(Ieee, 2015-01-01)
Sequential learning-based pattern classification aims at providing more accurate labeled maps by adding an extra step of classification using an augmented feature vector. In this paper, we evaluated the robustness of ...
Change in forest cover of the northwest region of Amazon in Mato Grosso state
(Univ Federal Mato Grosso, 2019-09-01)
In the past few years, the intensification of anthropic activities that modify the soil-vegetation cover in Brazil's land has been occurring on a large scale. To monitor the forest cover changes, the techniques of Remote ...
Linear spectral mixture analysis of TM data for land-use and land-cover classification in Rondônia, Brazilian Amazon.
(In: SYMPOSIUM ON GEOSPATIAL THEORY, PROCESSING AND APPLICATIONS; SYMPOSIUM SUR LA THÉORIE, LES TRAITEMENTS ET LES APPLICATIONS DES DONNÉES GÉOSPATIALES, Otawa 2002., 2002)
Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
(2015-11-10)
Unsupervised land-cover classification aims at learning intrinsic properties of spectral and spatial features for the task of area coverage in urban and rural areas. In this paper, we propose to model the problem of ...
UNSUPERVISED LAND-COVER CLASSIFICATION THROUGH HYPER-HEURISTIC-BASED HARMONY SEARCH
(Ieee, 2015-01-01)
Unsupervised land-cover classification aims at learning intrinsic properties of spectral and spatial features for the task of area coverage in urban and rural areas. In this paper, we propose to model the problem of ...
A Hyperheuristic Approach for Unsupervised Land-Cover Classification
(Ieee-inst Electrical Electronics Engineers Inc, 2016-06-01)
Unsupervised land-use/cover classification is of great interest, since it becomes even more difficult to obtain high-quality labeled data. Still considered one of the most used clustering techniques, the well-known k-means ...
Improving land cover classification through contextual-based optimum-path forest
(Elsevier B.V., 2015-12-10)
Traditional machine learning algorithms very often assume statistically independent data samples. However, this is clearly not the case in remote sensing image applications, in which pixels present spatial and/or temporal ...