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[PDF] Top 20 Imbalanced learning in land cover classification

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Imbalanced learning in land cover classification

Imbalanced learning in land cover classification

... of land use/land cover maps continues to be a challenging problem, with important impacts on the ability to promote sustainability and good resource ...difficulty in achieving these results ... See full document

14

Conversion of land use and cover in northwest Amazon (Brazil)

Conversion of land use and cover in northwest Amazon (Brazil)

... Köppen-Geiger classification, the climate of this region is Am, characterized by a dry season, which coincides with the boreal winter, presenting less than 60 mm rainfall a ... See full document

8

Land cover classification and change analysis in Recife-PE municipality using unsupervised classification |  Classificação da cobertura do solo e análise de mudanças no município de Recife-PE usando classificação de classificação não supervisionada

Land cover classification and change analysis in Recife-PE municipality using unsupervised classification | Classificação da cobertura do solo e análise de mudanças no município de Recife-PE usando classificação de classificação não supervisionada

... tree in the city, as well as the forest fragments, such as Matas da Várzea, Curado, Barro, Jardim Uchôa, and Dois Irmãos, for example, located further north and west, which from Law of use and occupation of ... See full document

16

Analysis of Changing Land Use Land Cover in Salinity Affected Coastal Region

Analysis of Changing Land Use Land Cover in Salinity Affected Coastal Region

... changes in land use over a period of three decades in a salinity affected semi-arid region of coastal Saurashtra in ...implemented in the area have altered the general land use ... See full document

6

Analysis Land use and Land cover changes and the driving forces

Analysis Land use and Land cover changes and the driving forces

... the in Kaysone Phomvihan district by utilizing satellite images classification (Landsat ...data). In which, uncertainties generated at different stages in a procedure have influenced the ... See full document

136

Comparing the performance of oversampling techniques in combination with a clustering algorithm for imbalanced learning

Comparing the performance of oversampling techniques in combination with a clustering algorithm for imbalanced learning

... development in the fields of science and technology that have enabled the exponential increase and availability of raw data, the imbalanced learning problem that arises with the huge amounts of data ... See full document

32

Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques

Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques

... Multi-sensor classification reduced the confusion between vegetation classes by being able to choose, at each node of the decision tree, the image/band with best class ...hand, in situations where the ... See full document

8

EVALUATING THE POTENTIAL OF MULTISPECTRAL AIRBORNE LIDAR FOR TOPOGRAPHIC MAPPING AND LAND COVER CLASSIFICATION

EVALUATING THE POTENTIAL OF MULTISPECTRAL AIRBORNE LIDAR FOR TOPOGRAPHIC MAPPING AND LAND COVER CLASSIFICATION

... vegetation cover, while higher reflectance values are expected for the wavelength of 1,064 nm (Lillesand and Kiefer, ...shot. In high vegetation, the single points represent only small targets such as leaf ... See full document

7

Identification of low accuracy regions in land cover maps using uncertainty measures and classification confidence

Identification of low accuracy regions in land cover maps using uncertainty measures and classification confidence

... global classification was evaluated building a confusion matrix with all the points collected for the three levels of uncertainty considered, corresponding to a total of 750 ...located in the same level of ... See full document

8

Analysis of urban land use and land cover changes: a case of study in Bahir Dar, Ethiopia

Analysis of urban land use and land cover changes: a case of study in Bahir Dar, Ethiopia

... accuracy in this study showed that in 1986 the maximum class accuracy was 98%, which was water bodies where correctly classified and the minimum was agricultural areas class with an accuracy of ...presented ... See full document

90

COMPARING GLOBAL LAND COVER DATASETS THROUGH THE EAGLE MATRIX LAND COVER COMPONENTS FOR CONTINENTAL PORTUGAL

COMPARING GLOBAL LAND COVER DATASETS THROUGH THE EAGLE MATRIX LAND COVER COMPONENTS FOR CONTINENTAL PORTUGAL

... bridging classification scheme. Land Cover Classification System (LCCS) provided by Food and Agriculture Organization (FAO) is one of the most used classification system for the ... See full document

46

Land use / land cover change detection: an object oriented approach, Münster, Germany

Land use / land cover change detection: an object oriented approach, Münster, Germany

... of classification techniques have been developed as ...studies in this regard have greatly influenced the development of new ...recommended. In summary, the chapter discusses about several aspects ... See full document

70

Land usecover classification in the Brazilian Amazon using satellite images

Land usecover classification in the Brazilian Amazon using satellite images

... fusion in Altamira In the relatively small study area in Altamira, the 2008 Landsat TM multispectral and the Palsar L‑band HH images were used to generate a new fused multispectral image with spatial ... See full document

24

Comparing the performance of oversampling techniques for imbalanced learning in insurance fraud detection

Comparing the performance of oversampling techniques for imbalanced learning in insurance fraud detection

... accuracy in the train data but to a poor classification capability on the test data (Holte, Acker, & Porter, 1989), this could happen using random oversampling (Mease, Wyner, & Buja, 2007) ... See full document

25

An Adaptive Sampling Ensemble Classifier for Learning from Imbalanced Data Sets

An Adaptive Sampling Ensemble Classifier for Learning from Imbalanced Data Sets

... Abstract—In Imbalanced datasets, minority classes can be erroneously classified by common classification ...algorithms. In this paper, an ensemble-base algorithm is proposed by creating new ... See full document

5

Oversampling for imbalanced learning based on k-means and smote

Oversampling for imbalanced learning based on k-means and smote

... encountered in imbalanced datasets (Galar et ...to classification rules covering only a small number of training ...improving classification in the presence of class imbalance can be ... See full document

36

ESTIMATION OF VEGETATION CARBON STOCK IN PORTUGAL USING LAND USE LAND COVER DATA

ESTIMATION OF VEGETATION CARBON STOCK IN PORTUGAL USING LAND USE LAND COVER DATA

... maps. In all, twenty one different maps were made available, seven for each ...CORINE land cover classification scheme using the desired MMU ...CORINE land cover technical guide ... See full document

83

A PERFORMANCE COMPARISON OF OVERSAMPLING METHODS FOR DATA GENERATION IN IMBALANCED LEARNING TASKS

A PERFORMANCE COMPARISON OF OVERSAMPLING METHODS FOR DATA GENERATION IN IMBALANCED LEARNING TASKS

... optimize learning for target evaluation criteria in the imbalanced case, which are quite different from standard evaluation metrics such as ...common classification algorithms, especially the ... See full document

28

EXPLORING LAND USE LAND COVER CHANGE TO UNDERSTAND URBAN WARMING EFFECT IN HANOI INNER CITY, VIETNAM

EXPLORING LAND USE LAND COVER CHANGE TO UNDERSTAND URBAN WARMING EFFECT IN HANOI INNER CITY, VIETNAM

... Supervised Classification method using Maximum Likelihood algorithm was used to classify land use land cover of the study ...7,6,4 in Landsat 8 and 7,5,3 in Landsat 5 TM and ... See full document

65

Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative

Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative

... “crop- land” UNLCCS land cover class was assigned as 100 % man- aged grass, whereas the UNLCCS “tree cover, needleleaf ev- ergreen, open (15–30 %)” class was assigned to 30 % needle- leaf ... See full document

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