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FUZZY IMAGE SEGMENTATION FOR URBAN LAND-COVER CLASSIFICATION
Segmentation classifi cation land-cover image-regions image-objects fuzzy
2015/11/16
In this paper a general fuzzy approach for segmentation-based classification is proposed. Traditional segmentation techniques focus on
partitioning imagery into image-objects with well-deᤙ...
FUSION OF IMAGING SPECTROMETER AND LIDAR DATA USING SUPPORT VECTOR MACHINES FOR LAND COVER CLASSIFICATION IN THE CONTEXT OF FOREST FIRE MANAGEMENT
Support Vector Machines land cover classification hyperspectral
2015/9/8
A combination of the two remote sensing systems, imaging spectrometry (IS) and Light Detection And Ranging (LiDAR), is well
suited to map fuel types, especially within the complex wildland urban inte...
LAND COVER CLASSIFICATION AND MONITORING IN NORTHEAST THAILAND USING LANDSAT 5 TM DATA
Land Use Remote Sensing GIS Thematic Mapper Classification Northeast Thailand
2015/8/31
The study of the land cover is one of the most important factors for planning and managing activities concerning the use of land
surface on this earth. Remote sensing techniques have improved mappin...
Regional scale land use/land cover classification using temporal series of modis data
remote sensing multitemporal image processing land use classification
2015/8/21
This paper describes a methodology for systematic land use/land cover classification on a regional scale, with emphasis on a low cost
and highly automatized approach. This methodology is based on mul...
The effect of stratified topographic correction on land cover classification in tropical mountainous regions
Forestry Land Cover Classification
2015/8/20
Topographic correction is an important data preprocessing step when land cover classification and quantitative analysis of
multispectral data are carried out in mountainous regions. Solar illuminatio...
Land cover classification in ukrainian carpathians using the meris terrestrial chlorophyl index and red edge position from envisat meris data
MERIS Terrestrial Chlorophyll Index Red Edge Position Ecosystems monitoring
2015/8/20
This paper describes the results of a preliminary study towards the use of MERIS data for land cover classification in the Ukrainian
Carpathians. The work is carried out in the frames of BEAR initiat...
OBJECT-ORIENTED ANALYSIS OF HIGH-RESOLUTION SATELLITE IMAGES FOR INTRA-URBAN LAND COVER CLASSIFICATION:CASE STUDY IN SAO JOSE DOS CAMPOS,SAO PAULO STATE,BRAZIL
Object-oriented classification Quickbird satellite Ikonos satellite Remote Sensing e-Cognition software package Sã o José dos Campos
2015/8/19
The detailed analysis of urban regions is among those areas which most benefited from the availability of high-resolution satellite data such as e.g. IKONOS and QUICKBIRD. These data offer as well hig...
REGION-BASED CLASSIFICATION POTENTIAL FOR LAND-COVER CLASSIFICATION WITH VERY HIGH SPATIAL RESOLUTION SATELLITE DATA
Very high spatial resolution satellite data segmentation region-based classification feature selection
2015/8/19
Since 1999, Very High spatial Resolution satellite data (Ikonos-2, QuickBird and OrbView-3) represent the surface of the Earth with more detail. However, information extraction by multispectral pixel-...
USING TEXTURE TO TACKLE THE PROBLEM OF SCALE IN LAND-COVER CLASSIFICATION
land-cover classification scale texture intensity segmentation visual perception
2015/8/19
This paper discusses the problem of scale in current approaches to Object Based Image Analysis (OBIA), and proposes how it may be overcome using theories of texture. It is obvious that aerial images c...
A SELF-SUPERVISED APPROACH FOR FULLY AUTOMATED URBAN LAND COVER CLASSIFICATION OF HIGH-RESOLUTION SATELLITE IMAGERY
Self-supervised classification high-resolution satellite imagery urban land cover feature extraction
2015/8/3
Commercially available high-resolution satellite imagery from sensors such as IKONOS and QuickBird are important data sources for a variety of urban area applications including infrastructure feature ...
AUTOMATIC LAND-COVER CLASSIFICATION OF LANDSAT IMAGES USING FEATURE DATABASE IN A NETWORK
Classification Land cover Database Networks Segmentation Object Software
2015/6/1
In order to utilize remote sensed images effectively, a lot of image classification methods are suggested for many years. But the accuracy of traditional methods based on pixel-based classification is...
LINEAR SPECTRAL MIXTURE ANALYSIS OF TM DATA FOR LAND-USE AND LAND-COVER CLASSIFICATION IN RONDÔNIA, BRAZILIAN AMAZON
LINEAR SPECTRAL MIXTURE ANALYSIS LAND-USE LAND-COVER CLASSIFICATION RONDONIA, BRAZILIAN AMAZON
2015/3/16
LINEAR SPECTRAL MIXTURE ANALYSIS OF TM DATA FOR LAND-USE AND LAND-COVER CLASSIFICATION IN RONDÔNIA, BRAZILIAN AMAZON.
SAR AND LANDSAT TM IMAGE FUSION FOR LAND COVER CLASSIFICATION IN THE BRAZILIAN ATLANTIC FOREST DOMAIN
Synthetic Aperture Radar (SAR) Landsat TM Orthorectification Image fusion Gaussian maximum likelihood classification Error matrix
2014/12/29
This paper demonstrates the applicability of Landsat TM and SAR image fusion for land cover classification in the Brazilian Atlantic forest domain. The Atlantic forest is considered one of the most th...
Land Use and Land Cover Classification from ETM Sensor Data : A Case Study from Tamakoshi River Basin of Nepal
Land use land cover Land sat supervised
2014/12/16
The mountain watershed of Nepal is highly rugged, inaccessible and difficult for acquiring field data. The application of ETM sensor Data Sat satellite image of 30 meter pixel resolutions has been use...
Land use land cover classification using local multiple pattern from very high resolution satellite imagery
LULC classification Local Multiple patterns WorldView-2 Texture Neural network classifier
2014/12/16
The recent development in satellite sensors provide images with very high spatial resolution that aids detailed mapping of Land Use Land Cover (LULC). But the heterogeneity in the landscapes often res...