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OBJECT-ORIENTED CLASSIFICATION OF LIDAR DATA FOR POST-EARTHQUAKE DAMAGE DETECTION
LiDAR Earthquake Classification Object Oriented Image Analysis Buildings Damage Detection
2018/4/18
The collapse of buildings during the earthquake is a major cause of human casualties. Furthermore, the threat of earthquakes will increase with growing urbanization and millions of people will be vuln...
OBJECT-ORIENTED CLASSIFICATION OF LIDAR DATA FOR POST-EARTHQUAKE DAMAGE DETECTION
LiDAR Earthquake Classification Object Oriented Image Analysis Buildings Damage Detection
2018/5/8
The collapse of buildings during the earthquake is a major cause of human casualties. Furthermore, the threat of earthquakes will increase with growing urbanization and millions of people will be vuln...
OBJECT ORIENTED CLASSIFICATION:CASE STUDIES USING DIFFERENT IMAGE TYPES WITH DIFFERENT SPATIAL RESOLUTIONS
Object Oriented Classification Multi-spectral imagery Resolution 3D
2015/12/31
Sub-pixel based digital image classification outputs from coarse spatial resolution remote sensing images can be closer to ground information as compared to hard classification outputs. This hasbeen p...
Comparison of Pixel-based and Object-oriented Classification Methods for Extracting Built-up Areas in Aridzone
Remote Sensing Change Detection Built-Up Area Expansion Object-Oriented Classification
2015/10/12
This study focuses on the comparison between the classical and object-oriented image classifications of remote sensing imagery in
the arid area. Due to its special geographic environment and socio-e...
A trained segmentation technique for optimization of object-oriented classification
Object-oriented classification segmentation fuzzy logic
2015/8/20
Along with the significant improvement of spatial resolution of remote sensing imagery in the recent years, traditional per-pixel
based classification techniques have been facing increasing problems ...
ANALYSIS OF OBJECT-ORIENTED CLASSIFICATION RESULTS DERIVED FROM PAN-SHARPENED LANDSAT 7 ETM+ AND ASTER IMAGES
object-oriented classification eCognition
2015/8/17
In this study, performance of object-oriented classification approach has been tested using medium resolution satellite dataset of
Zonguldak testfield. For this purpose, Landsat 7 ETM+ and ASTER ima...
COMBINED ANALYSIS OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE DATA IN AN OBJECT ORIENTED CLASSIFICATION APPROACH
imaging spectroscopy endmember selection urban monitoring
2015/8/3
Many applications of remote sensing – like, for example, urban monitoring – require high resolution data for a correct determination of object geometry. These spatial high resolution image data contai...
AN OBJECT-ORIENTED CLASSIFICATION OF AN ARID URBAN FOREST WITH TRUE-COLOR AERIAL PHOTOGRAPHY
urban forest land cover classification high resolution aerial photography objectoriented
2015/8/3
In order to adequately model ecosystems services of the urban environment, it is necessary to accurately inventory urban vegetation abundance and spatial distribution. An object-based, methodological ...
Comparison of Pixel-based and Object-oriented Classification Approaches Using Landsat-7 Etm Spectral Bands
Remote Sensing Land Cover Classification
2015/7/9
In this study, land cover types in Zonguldak test area were analysed on the basis of the classification results acquired using the pixelbased
and object-oriented image analysis approaches. Landsat-7 ...
Object-oriented classification of Ikonos satellite data for the identification of tree species composition
automated image analysis eCognition median filters
2015/3/3
This paper describes the automated classification of tree species composition from Ikonos 4-meter imagery using an object-oriented approach. The image was acquired over a man-planted forest area with ...
Comparison of object oriented classification techniques and standard image analysis for the use of change detection between SPOT multispectral satellite images and aerial photos
forestry change detection object-oriented GIS-update data fusion SPOT aerial photos eCognition
2014/12/31
The latest developments in remote sensing analysis software allow new ways of integrating satellite imagery with archive data from aerial photography. This paper shows how this integration is useful i...
Object oriented classification of high resolution data for inventory of horticultural crops
Horticultural plantations high resolution data texture object oriented classification accuracy semi-automatic
2014/12/15
High resolution satellite images are associated with large variance and thus, per pixel classifiers often result in poor accuracy especially in delineation of horticultural crops. In this context, obj...
COMBINING FEATURES EXTRACTED FROM IMAGERY AND LIDARDATA FOR OBJECT-ORIENTED CLASSIFICATION OF FOREST AREAS
Object-oriented classification feature extraction high-resolution imagery lidar land cover mapping
2014/6/12
During the last several years, lidar has become a widely used technique for data collection from the earth surface and vegetation canopy being the large volume of high density lidardata the main drawb...
AUTOMATIC CHANGE DETECTION IN URBAN AREAS UNDER A SCALE-SPACE, OBJECT-ORIENTED CLASSIFICATION FRAMEWORK
Object-based image analysis multivariate alteration detection morphological scale space filtering
2014/6/12
In this paper an object-based classification framework is introduced for the automated monitoring of changes in urban areas. Morphological scale space filtering is embedded in the pro...
IMALYS – AN AUTOMATED AND DATABASE-INTEGRATED OBJECT-ORIENTED CLASSIFICATION SYSTEM
Segmentation Classification Database Automation Method Software
2015/11/16
Increasing frequency and quality of remote sensing observations created strong demand for high-quality retrieval of thematic
information as input for analysis, modeling and decision-making purposes....