land-cover classification accuracy
Fast Landform Position Classification to Improve the Accuracy of Remote Sensing Land Cover Mapping
... imagery, land cover classification and mapping by high-resolution remote sensing images is becoming an increasingly useful technique for providing a large area of detailed land-cover ...
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A Multi-temporal fusion-based approach for land cover mapping in support of nuclear incident response
... in land cover classification, mainly because of numerous limitations (spatial, spectral, or temporal) associated with individual satellite ...increase land cover classification ...
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Predicting missing field boundaries to increase per field classification accuracy
... Second, the mean local variance was predicted, which implies the decision to use a stationary model of local vari- ance. Such a decision means that potentially useful informa- tion is lost. For example, instead of ...
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Land Cover Classification Using Sentinel 1 SAR Data
... image classification, and impact of variables was ...higher accuracy than VVpolarimetry. The accuracy for VH, VV and (VH&VV) images were found ...for classification of the study area the ...
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Pattern Classification Technique to Assess Land Use/Cover Changes in Granite Quarry Area of Dharmapuri and Krishnagiri Districts of Tamilnadu
... agriculture land (Level I) is classified to cropland and plantation area in the study area using Level II ...level land use and land cover map (scale 1:50000) for 2011–2012 published by Bhuvan ...
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Indigenous Land Management Practices and Land Cover Change in Akwa Ibom State, Nigeria
... existing land use/cover map of the area was also acquired from the Cross River Basin Development Authority ...for accuracy assessment of the 1986 classified ...the accuracy assessment of the ...
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Deep learning for land cover and land use classification
... the classification confidence, considering its superiority in terms of classification accuracy and the regional homogeneity of classification ...CNN classification results, and the ...
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Usability of VGI for validation of land cover maps
... the accuracy of the Globcover map of tropical forests in West ...producer’s accuracy of the classification as forest or ...for accuracy assessment, especially if no means to select volunteers ...
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Decision tree classification model for land use and land cover mapping a case study
... classifying land cover and land use on the chosen ...results, classification rules generated from the best algorithm for Land use and land cover classification over ...
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Assessment of the Trend, Cause and Effect of Deforestation Using GIS and Remote Sensing in Goba District, Bale Zone, South Eastern Ethiopia
... Accordingly, Land Sat TM (1986), Land Sat ETM+ (2000) and Land Sat ETM+ (2015) satellite imageries with their 30m resolution for each year were used to estimate trends and extents of ...The ...
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Land Cover Classification Using Hidden Markov Models
... a classification approach that utilizes the high recognition ability of Hidden Markov Models (HMM s) to perform high accuracy of classification by exploiting the spatial inter pixels dependencies ( ...
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Classification of hyperspectral data for land cover mapping : is there any significant improvement?
... Two addressed issues in the study are: (1) whether or not hyperspec- tral would increase classification accuracy over medium spatial resolution (10m) of MASTER data for land cover mappin[r] ...
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ART Based Reliable Method for Prediction of Agricultural Land Changes Using Remote Sensing
... for classification and change detection ...automated land cover change detection system using back propagation network ...likelihood classification method. Using post classification ...
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Detection of the urban expansion over agricultural land using LULC change detection techniques:case study El-Mahalla el-koubra City-Egypt
... and Land Cover change detection are one of the most important applications of remote ...analyze Land Use and Land cover ...post- classification change detection ...or ...
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Assessment of regional changes for enhancing water availability
... the land use in terms of obtained ...the accuracy assessment was to deliver the results based on how well a classification worked under the realistic ...cific land cover is ...specified ...
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Standardizing Australian semi-urban land cover mapping through FAO land cover classification system
... The land cover classification of this region includes highly contrasting spectral characteristics making an approach developed specifically for this area suitable for application to other urban ...
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Landscape determinants and remote sensing of anopheline mosquito larval habitats in the western Kenya highlands
... Aerial photos can be obtained for any area of interest, and they are generally not limited by cloud coverage because aerial photos can be taken when the sky is clear. Flying closer to the ground or using appropriate lens ...
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Evaluation of Flooding Risk in Greater Dhaka District Using Satellite Data and Geomorphological Land Classification Map
... various land use/land cover categories such as agriculture land use, built up area, water surface, bare land and vegetation ...derive land use/cover maps of the study area ...
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He_unc_0153M_18474.pdf
... resolution, weights initialization, optimization strategy, and setting of hyper-parameters will also significantly influence the convergence and accuracy of proposed networks. Experiments of DRFCN do not utilize ...
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Supervised methods of image segmentation accuracy assessment in land cover mapping
... Table 1. Geometric metrics for supervised assessment of image segmentation accuracy. All metrics are numbered and ordered chronologically. The type of metric and segmentation error are identified in columns Typ. ...
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