[PDF] Top 20 Supervised methods of image segmentation accuracy assessment in land cover mapping
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Supervised methods of image segmentation accuracy assessment in land cover mapping
... for supervised assessment of image segmentation ...and segmentation error are identified in columns ...local accuracy assessment (see notes on the corresponding global ... See full document
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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 ...for Land use and land cover classification over the LISS-III image were implemented using Expert Classifier to obtain ... See full document
5
Wetland Assessment and Monitoring Using Image Processing Techniques: A Case Study of Ranchi, India
... desired land cover ...in land use and land cover classification and wetland mapping has been done using image processing technique, viz, unsu- pervised classification and ... See full document
6
Assessment of Supervised Classifiers for Land Cover Categorization Based on Integration of ALOS PALSAR and Landsat Data
... satellite image is a very significant part of remote sensing image analysis, object and pattern recognition, mapping and monitoring of forest cov- ers and natural ...forest, land ... See full document
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Spectral Clustering with Eigenvalue Similarity Metric Method for POL SAR Image Segmentation of Land Cover
... the supervised and the unsupervised [7] ...the supervised needs par- tially landcover labels, thus can often get better segmentation result [9] ...SAR image is difficult to obtain, more ... See full document
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Pattern Classification Technique to Assess Land Use/Cover Changes in Granite Quarry Area of Dharmapuri and Krishnagiri Districts of Tamilnadu
... and land cover(LULC) analysis throughout the ...classification methods like Support Vector Machine(SVM), artificial neural network (ANN), Maximum Likelihood Classifier (MLC), fuzzy analysis, ... See full document
10
Superresolution mapping using a hopfield neural network with fused images
... Superresolution mapping is a set of techniques for predicting the location of land cover classes within a pixel based on the proportion images produced by soft ...perresolution mapping ... See full document
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FORECASTING AUDIENCE OF MOTION PICTURES CONSIDERING COMPETITIVE ENVIRONMENT
... its accuracy with that of a water index-based ...of land cover mapping [23][24], which have been reported in the literature, research on shoreline extraction using ensemble methods ... See full document
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Analysis of Remotely Sensed Data for Mapping Land Cover Types by Applying aMaximum Likelihood Classifier Algorithm, in Al-Ahsaa Oasis, Eastern Region, Saudi Arabia
... about land cover/use is important and much more needed for different aspects of sustainable development and environmental ...generating land cover map for sub area in Al-Ahasaa Oasis, Saudi ... See full document
20
Fast Landform Position Classification to Improve the Accuracy of Remote Sensing Land Cover Mapping
... classification accuracy improvement process in this ...sensing image has been purchased and downloaded from the website of China Geological ...GF-1 image is used for automatic image ...each ... See full document
11
Pattern Classification Technique to Assess Land Use/Cover Changes in Granite Quarry Area of Dharmapuri and Krishnagiri Districts of Tamil Nadu
... several image classification techniques and algorithms have been developed extensively for the Landuse and Land Cover( LULC) analysis throughout the world (Kamarudin et ...classification ... See full document
14
Overview of NASA’s MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) snow-cover Earth System Data Records
... MODIS land and cryospheric science algorithms that include SCE maps with an accuracy range of up to 95 % under clear skies (Tong et ...Global Mapping Project website ... See full document
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LAND USE AND LAND COVER AREA ESTIMATION FOR NAGPUR CITY, MAHARASHTRA USING REMOTE SENSING AND GIS TECHNIQUES
... an image and aggregate them into a numbers of classes based on the natural grouping or clusters present in the image ...given cover type should be close together in the measurement space, whereas ... See full document
11
Accuracy assessment of topographic mapping using UAV image integrated with satellite images
... systems. Accuracy o f UAV can be obtained with decimeter level and the acquired orientation parameters can reduce the number of ground control points needed for post processing ... See full document
6
Using volunteered geographic information (VGI) in design based statistical inference for area estimation and accuracy assessment of land cover
... Using Volunteered Geographic Information VGI in Design-Based Statistical Inference for Area Estimation and Accuracy Assessment of Land Cover Stephen V.. Foodyc, Linda Seed.[r] ... See full document
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Land Use / Land Cover Assessment in Nagercoil town, Kanniyakumari District, South India
... [3] Muhammad Farooq Iqbal and Iftikahar Ahmad Khan. (2014). “Spatiotemporal Land Use Land Cover change analysis and erosion risk mapping of Azad Jammu and Kashmir, Pakistan”. The Egyptian ... See full document
5
Assessment of the Trend, Cause and Effect of Deforestation Using GIS and Remote Sensing in Goba District, Bale Zone, South Eastern Ethiopia
... The LULC dynamic significantly modifies the hydrological aspect of the wa- tersheds, affecting water resources and the environment on a local and global scale [19]. This change of the LULC pattern, such as deforestation ... See full document
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Impact of the Accuracy of Land Cover Data Sets on the Accuracy of Land Cover Change Scenarios in the Mono River Basin, Togo, West Africa
... The spatial trend of change computed for the CILSS, ESA and Globeland30 data sets is given in 290.. Appendix A.[r] ... See full document
21
Interlaboratory comparison of femur surface reconstruction from CT data compared to reference optical 3D scan
... automated segmentation of the bone started by thresholds of HU and was followed by manually editing the slices to obtain more accurate surfaces ...the segmentation software using a semi-automatic ... See full document
10
Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island
... For assessment of the accuracy of the match between the classified image and the reference data, we compared the classification results in the validation areas with the land- slide inventory ... See full document
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