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AUTOMATIC CLASSIFICATION OF HIGH RESOLUTION SATELLITE IMAGERY – A CASE STUDY FOR URBAN AREAS IN THE KINGDOM OF SAUDI ARABIA
Terrain geography spatial database remote sensing images
2017/7/12
Updating topographic geospatial databases is often performed based on current remotely sensed images. To automatically extract the object information (labels) from the images, supervised classifiers a...
Automatic classification of remote sensing data for GIS database revision
Automatic classification remote sensing data GIS database revision
2016/5/23
Geographic information systems (GIS) are dependent on accurate and up-to-date data sets. The manual revision of GIS data is very cost and time consuming. On the other hand more and more high resolutio...
AUTOMATIC CLASSIFICATION METHODS OF HIGH-RESOLUTION SATELLITE IMAGES:THE PRINCIPAL COMPONENT ANALYSIS APPLIED TO THE SAMPLE TRAINING SET
Remote Sensing IKONOS Classification Land Cover Processing Georeferencing
2015/12/31
In Remote Sensing the various bands of multispectral data have not the same relevance in order to identify pixels inside a specific land cover class. The band algebra combines different images in orde...
THE EFFICACY OF SEMI-AUTOMATIC CLASSIFICATION RESULT BY USING DIFFERENT CLOUD DETECTION AND DIMINUTION METHOD
Image processing Change detection Image understanding Matching Air quality
2015/12/28
Passive Remote Sensing is multi-spectral, rapid and high resolution, but it is very easily influenced by intended to the atmosphere conditions, such as fog and haze. In the past, there have been many ...
Automatic Classification of LIDAR Data into Ground and Non-Ground Points
LiDAR DEM/DTM Extraction Photogrammetry Classification Laser Scanning Point Cloud
2015/12/16
Recently, automatic object extraction from Light Detection And Ranging (LiDAR) data has attracted great attention. The level of detail and the quality of the collected point cloud motivated the resear...
EFFECTS OF UNSUPERVISED FULLY CONSTRAINED LEAST SQUARES LINEAR SPECTRAL MIXTURE ANALYSIS METHOD ON AUTOMATIC CLASSIFICATION OF TM IMAGE
classification of remote sensing image linear spectral mixture mode
2015/7/30
Statistical analysis is a widely used traditional technique for classification and discrimination in remotely sensed images, which
supposes that there is only one endmember in an image pixel. Howeve...
THE AUTOMATIC CLASSIFICATION OF B&W AERIAL PHOTOS
Land Cover Photography Texture Fuzzy Logic
2015/6/1
The paper shows possibility to classify B&W aerial orthophotographs and other monochromatic remote sensing data using image
enhancement phase and object-oriented analysis phase for the automatic cla...
Potential of automatic classification in Alpine areas for supporting the update of CORINE landcover
generalization land use land cover monitoring semi-automation spatial databases
2015/2/5
The paper discusses benefits and limitations of automated classification results as support for updating land cover maps.
The classification results of an Alpine Monitoring project (ALPMON) are compa...
EFFECT OF WAVELET COMPRESSION ON THE AUTOMATIC CLASSIFICATION OF URBAN ENVIRONMENTS USING HIGH RESOLUTION MULTISPECTRAL IMAGERY AND LASER SCANNING DATA
Data Compression Wavelets Data fusion Classification
2014/12/31
This paper examines the influence of data fusion and wavelet compression on the automatic classification of urban environments. The principal data used is airborne Daedalus scanner imagery. Laser scan...
Automatic Classification of coarse density LiDAR data in urban area
LIDAR Vehicle Classification Airborne Urban PCA NDSM DTM
2014/7/30
The classification of different objects in the urban area using airborne LIDAR point clouds is a challenging problem especially with low density data. This problem is even more complicated if RGB info...
AUTOMATIC CLASSIFICATION OF CENTRAL ITALY LAND COVER: COMPARATIVE ANALYSIS OF ALGORITHMS
Land cover comparative analysis pixel-based algorithms
2015/11/16
The specific objective of this paper was to provide a comparative analysis of three automatic classification algorithms: Quinlan’s
C4.5 and two robust probabilistic classifiers like Support Vector M...
Automatic classification of the 13CrMo4-5 steel worked in creep conditions
Creep Neural networks Steels Image analysis
2010/2/4
Purpose: In material engineering the images obtained by various methods are the source of different information about materials. The artificial intelligence tools can be employed for automatic method ...