Results 261 to 270 of about 643,359 (305)

Border Lakes land-cover classification

2009
This document contains metadata and description of land-cover classification of approximately 5.1 million acres of land bordering Minnesota, U.S.A. and Ontario, Canada. The classification focused on the separation and identification of specific forest-cover types. Some separation of the nonforest classes also was performed.
Marvin Bauer, Brian Loeffelholz, Doug. Shinneman   +2 more
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Radar remote sensing: land cover classification

1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339), 2002
The recent increase in the number of space-based and airborne synthetic aperture radar (SAR) systems and three-dimensional synthetic aperture radar systems (interferometric SAR; IFSAR) has resulted in new types of data that can complement other sensor systems and, in some cases, solve serious data collection deficiencies.
S. Jaroszewski, R. Lefevre
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Random Forests for land cover classification

Pattern Recognition Letters, 2006
Random Forests are considered for classification of multisource remote sensing and geographic data. Various ensemble classification methods have been proposed in recent years. These methods have been proven to improve classification accuracy considerably. The most widely used ensemble methods are boosting and bagging.
Pall Oskar Gislason, Jon Atli Benediktsson, Johannes R. Sveinsson   +2 more
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Land-Cover Classification

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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The use of land cover change likelihood for improving land cover classification

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
The likelihood of transitions between pairs of land cover and land use classes in a given time interval and environmental context can be used to impose classification restrictions on an image or to evaluate results. This study presents a methodology for using the likelihood of transitions between classes to improve land cover classification, given a ...
Mariane S. Reis, Sidnei J. S. Sant'Anna, Luciano V. Dutra, Maria Isabel S. Escada, Eliana Pantaleao   +4 more
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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), 2015
Land 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, Norsuzila Ya'acob, Azita Laily Yusof   +2 more
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Land Use/Land Cover Classification Systems

2009
The 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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Land Cover Classification Using Ensemble Techniques

2019
This 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 I. Parikh, Samir B. Patel, Vibha D. Patel   +2 more
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Random forests for land cover classification

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
In recent years, a number of works reported the use of combination of multiple classifiers to produce a single classification and demonstrated significant performance improvement. The resulting classifier, referred to as an ensemble classifier, is a set of classifiers whose individual decisions are combined by weighted or unweighted voting to classify ...
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Land Use/ Land Cover Classification of Google Earth Imagery

2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2017
Google Earth is a source of high spatial resolution images. The freely available Google Earth (GE) images are utilized to generate Land use/Land cover thematic map of the highly heterogeneous landscape of typical urban scene. In this paper, we have presented Euclidean Distance and Average Pixel Intensity based K-NN classification to classify five ...
Sowmya, D.R., Vishwas Hegde, S, Suhas, J., Raghavendra Hegdekatte, V., Deepa Shenoy, P., Venugopal, K.R.   +5 more
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