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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 ...
Effects of large-scale changes in land cover on the discharge of the Tocantins River, Southeastern Amazonia
(Journal of Hydrology, 2018)
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 ...
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 ...
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 ...
Changes in land cover in coastal erosion hotspots in the southern Caribbean of Costa Rica during the period 2005-2017
(Universidad Nacional, Costa Rica, 2021)
Temporally-Consistent Annual Land Cover from Landsat Time Series in the Southern Cone of South America
(MDPI, 2022-08)
The impact of land cover change across the planet continues to necessitate accurate methods to detect and monitor evolving processes from satellite imagery. In this context, regional and global land cover mapping over time ...
Water Erosion Prediction Using the Revised Universal Soil Loss Equation (RUSLE) in a GIS Framework, Central Chile
(Instituto de Investigaciones Agropecuarias, INIA, 2010)