VII/4: Methods for Land Cover Classification

• A Comparative Study on Land Cover Classification through Integrating LiDAR Data and Aerial Imagery using Support Vector Machines and Random Forests
• A New Integrated Pixel- and Object Based Techniques for Efficient Urban Classification using WorldView-2 Data
• A Novel Approach to Super Resolution Mapping of Multispectral Imagery Based on Pixel Swapping Technique
• A Study of two Methods for Accuracy Assessment to RS Classification
• Accuracy Evaluation of the Global Land Cover 2000 and MODIS land cover data sets over the Wetland of China
• Adaptive Multi-objective Sub-pixel Mapping Framework based on Memetic Algorithm for Remote Sensing Imagery
• Albedo Pattern Recognition and Time-series Analyses in Malaysia
• An Adaptive and Automated Method for Masking Cloud and Cloud Shadow on Landsat Data
• Analysis of multitemporal and multisensor remote sensing data for crop rotation mapping
• Application of GEOBIA for vegetation mapping of high urban areas using VHR aerial images
• Application of MODIS data to assess the latest forest cover changes of Sri Lanka
• Assessing the feature sensitivity to segmentation errors in object-oriented classification using high resolution imagery
• Automatic Refinement of Training Data for Classification of Satellite Imagery
• Change Detection Analysis Using Reconstructing Of Ndvi Time-Series Data Based On Savitsky-Golay Filtering Methods
• Characterizing land use classes in remote sensing imagery by shape metrics
• Classification of polarimetric SAR images using joint hierarchical classification and parametric multidimensional analysis
• Combination of Genetic Algorithm and Dempster-Shafer Theory of Evidence for land cover classification using integration of SAR and optical satellite imagery
• Comparative performance analysis of a hyper-temporal NDVI analysis approach and a landscape-ecological mapping approach
• Comparison of various techniques of Glacial Lake Mapping in Teesta River Basin, India
• Context Models for CRF-Based Classification of Multitemporal Remote Sensing Data
• Defining densities for urban residential texture, through land use classification, from landsat 7etm+ imagery: case study of spanish mediterranean coast
• Development of a Methodology for Generating Land Cover Map of IRAN Using MODIS Imagery and Ecological Parameters
• Empirical Distribution Analysis (EDA)- based Object Classification
• Fast Mean-Shift based classification of very high resolution images. Application to forest cover mapping
• Fusion of Optical and SAR Data for Urban Land Use / Land Cover Classification Using Random Forest Algorithm
• Hierarchical Classification of Polarimetric SAR Image Based on Statistical Region Merging
• Identification of Land Cover in the past using infrared images at present
• Impact of different topographic normalization methods on prediction accuracy of Foliage Projective Cover (FPC) in a topographically complex terrain
• Impervious Surface Detection in Urban Environment Using LiDAR Data and High Resolution Satellite Images
• Improving Markov Random Field based Super Resolution Mapping Through FUZZY parameter integration
• Land cover classification of multi-sensor images by decision fusion using weights of evidence model
• Land use mapping in Khuzestan province by using the satellite imagery
• LiDAR vs. Panchromatic Stereo IKONOS Data for Land Cover Classification
• MAGIC: an Unsupervised Region-Based Classification Program for processing SAR and high resolution optical images
• Mangrove mapping and change detection using multi-temporal satellite remote sensing data in Hai Phong city, Vietnam
• Mapping and Monitoring Invasive Saltcedar with Landsat TM imagery and Landscape Metrics
• Mapping and monitoring mangrove habitats using ALOS PALSAR 25m mosaic
• Mapping of land cover using the knowledge-based methods: The case of APA Petrópolis, Rio de Janeiro State, Brazil
• Modeling spatial distribution of a rare and endangered plant species (Brainea insignis) in central Taiwan
• Object Oriented Classification of Forest Type Using SPOT5 Imagery and Digital Elevation Model Data
• Optimization Of Decision-Making For Spatial Sampling In The North China Plain, Based On Remote-Sensing A Priori Knowledge
• Optimizing object based classification in urban environments using very high resolution GeoEye-1 imagery
• Orientation Based Building Outline Extraction in Aerial Images
• Post-classification Approach Based on Geostatistics to Remote Sensing Images : Spectral and Spatial Information Fusion
• Remote sensing of settlement sites and trading routes in Egypt's Western Desert
• Research on Differential Coding Method for Satellite Remote Sensing Data Compression
• Retrieval of PolSAR Deomposition parameters base information for Land Use Land Cover Classification
• Spatial data mining approach classify quecus species: A case study in Himalaya
• Spatial interpolation as a tool for spectral unmixing of remotely sensed images
• Spectral-SIFT approach for multi-source satellite remote sensing image registration
• Support vector machine classification of object-based data for crop mapping, using multi-temporal Landsat imagery
• Temporal And Spatial Variation Analysis Of Land Use/Cover In City And Countryside Based On Remote Sensing Interpretation: Case Study Of Qingpu, Shanghai
• The low backscattering targets classification in urban area
• The Potential to Monitor Groundcover in Sugarcane Fields Using Landsat Imagery
• The Research on Classification Method of Remote Sensing Data: Fusion of active and passive remote sensing images
• Time series analysis of MOD13Q1 EVI data for regular land cover mapping in Victoria, Australia
• Unsupervised Satellite Image Classification Using Markov Field Topic Model
• Urban Object Extraction Based on Remote Sensing Data Fusion
• Using LiDAR Data for Extracting Land Cover Information
• Validation of ASTER images for characterization and mapping of ametist mining residues

60 abstracts