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Multispectral Classification of Remote Sensing Imagery for Archaeological Land Use Analysis: Prospective Study
(Institute of Electrical and Electronics Engineers, 2010-07)
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 ...
Principles for life cycle inventories of land use on a global scale
(Springer Heidelberg, 2013-07)
Purpose To assess the diverse environmental impacts of land use, a standardization of quantifying land use elementary flows is needed in life cycle assessment (LCA). The purpose of this paper is to propose how to ...
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 ...
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 ...