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Polarimetric signatures and classification of tropical land covers
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009Polarimetric signatures for different tropical land covers were extracted from RADARSAT-2 data. Subsequently, the data were classified. The objective of this work was to assess the potential of RADARSAT-2 polarimetric C band data on land cover mapping. RADARSAT-2 data were acquired over Tapajos National Forest, a tropical forest reserve in Brazil, and ...
Tatiana Mora Kuplich +3 more
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Land Cover Classification Using Ensemble Techniques
2019This paper aims at a Land cover classification of compact polarimetric RISAT-1 data using pixel-based and patch-based input to an ensemble model. In the pixel-based approach, Support Vector Machine (SVM), Multi-Layer Perceptron (MLP) and Random Forest (RF) are ensembled to shape a single voting classifier using the soft voting and majority voting ...
Hemani Parikh +2 more
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2019
Land-cover classification is an important application area of satellite remote sensing. However, deriving thematic map from satellite imagery through classification approaches is not a straightforward task, especially from high-resolution satellite imagery.
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Land-cover classification is an important application area of satellite remote sensing. However, deriving thematic map from satellite imagery through classification approaches is not a straightforward task, especially from high-resolution satellite imagery.
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Differences of image classification techniques for land use and land cover classification
2015 IEEE 11th International Colloquium on Signal Processing & Its Applications (CSPA), 2015Land use and land cover classification of remotely sensed data is an important research and commonly used in remote sensing application. In this study, the different types of classification techniques were used by using satellite image of some part of Selangor, Malaysia.
Nur Anis Mahmon +2 more
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The development of Superspectral approaches for the improvement of land cover classification
IEEE Transactions on Geoscience and Remote Sensing, 2004This paper develops a critical review of the hyperspectral splitting of the solar reflected radiation acquired by hyperspectral imaging sensors. The bandwidth used in the range from 2.0-2.5 /spl mu/m by many hyperspectral sensors sometimes is too narrow for land cover classification. In fact, hyperspectral imagers often suffer from low signal-to-noise (
GIANINETTO, MARCO +1 more
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Land Use/Land Cover Classification Systems
2009The final objective of a geomatics process concerning Earth observation is the production of thematic maps. How to obtain thematic results is described in Chapter 8. With the use of informatics instruments, the possibilities to produce thematic maps are extensive. The problem is the quality and the assessment of the reliability of these maps. Few rules
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Planet-Scale Land Cover Classification with FPGAs
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018AI for Earth puts Microsoft's cloud and AI tools in the hands of those working to solve global environmental challenges. Land cover mapping is part of Microsoft's AI for Earth program, which was created in order to fundamentally change the way that society monitors, models, and ultimately manages Earth's natural resources.
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Transfer-Learning On Land Use And Land Cover Classification
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Gabriel A. Carneiro +3 more
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Evaluating the Performance of Classification Algorithms for Land-Cover Classification
2023 International Conference on Machine Learning and Applications (ICMLA), 2023Marcos Pastorini +4 more
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Land Use/Land Cover Classification of the Natural Environment
2015Land use/land cover (LULC) information is one of the most important spatial input for environmental modelling and a crucial indicator to identify and quantify natural and socioeconomic impacts triggered by LULC changes. Such impacts are related to glacier, snow cover, and permafrost melting, the forming of GLOFs, erosion by land sides, discharge and ...
Rajesh Thapa +5 more
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