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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...
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 ...
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 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...