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COMBINING HIGH SPATIAL RESOLUTION OPTICAL AND LIDAR DATA FOR OBJECT-BASED IMAGE CLASSIFICATION
High Spatial Resolution Lidar Object-Based Classification Aerial Image Image segmentation
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2018/5/14
In order to classify high spatial resolution images more accurately, in this research, a hierarchical rule-based object-based classification framework was developed based on a high-resolution image wi...
PRELIMINARY RESULTS OF EARTHQUAKE-INDUCED BUILDING DAMAGE DETECTION WITH OBJECT-BASED IMAGE CLASSIFICATION
Ercis-Van Earthquake Object-Based Image Classification Building Damage Detection
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2016/11/23
Earthquakes are the most destructive natural disasters, which result in massive loss of life, infrastructure damages and financial losses. Earthquake-induced building damage detection is a very import...
ADVANCES IN OBJECT-BASED IMAGE CLASSIFICATION
Classification land cover imagery segmentation GIS integration
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2015/12/31
This paper presents a review of object-based image classification, outlining recent developments, assessing current capabilities and signposting future implications. Object-based classification method...
USING ARCGIS MODEL BUILDER FOR OBJECT-BASED IMAGE CLASSIFICATION OF SEAGRASS MEADOWS
GIS Mapping Oceanography Vegetation Classification Object Image
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2015/8/19
Seagrass meadows are an important coastal habitat serving as a good indicator of healthy coastal ecosystems. Object-based image classification is a new method of seagrass mapping. The goal of the proj...
PIXEL VS OBJECT-BASED IMAGE CLASSIFICATION TECHNIQUES FOR LIDAR INTENSITY DATA
LiDAR intensity data object-based classification decision tree.
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2014/6/5
Light Detection and Ranging (LiDAR) systems are remote sensing techniques used mainly for terrain surface modelling. LiDAR sensors record the distance between the sensor and the targets (range data) w...
THE EFFECT OF LOSSY IMAGE COMPRESSION ON OBJECT BASED IMAGE CLASSIFICATION - WORLDVIEW-2 CASE STUDY
Image Lossy Compression Object Classification JPEG 2000 WorldView-2 k-Nearest Neighbor
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2014/6/5
Lossy compression is becoming increasingly used in remote sensing although its effect on the processing results has yet not been
fully investigated. This paper presents the effects of JPEG 2000 loss...