scholarly journals Mapping debris-covered glaciers in the Cordillera Blanca, Peru : an object-based image analysis approach.

2015 ◽  
Author(s):  
Donald Biddle
Keyword(s):  
Image Analysis ◽  
Analysis Approach ◽  
Cordillera Blanca ◽  
Object Based Image Analysis ◽  
Object Based

Multi-temporal mapping of seagrass cover, species and biomass: A semi-automated object based image analysis approach

2014 ◽  
Vol 150 ◽  
pp. 172-187 ◽  
Author(s):  
Chris M. Roelfsema ◽  
Mitchell Lyons ◽  
Eva M. Kovacs ◽  
Paul Maxwell ◽  
Megan I. Saunders ◽  
...  
Keyword(s):  
Image Analysis ◽  
Analysis Approach ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Multi Temporal ◽  
Seagrass Cover

scholarly journals AN OBJECT BASED IMAGE ANALYSIS APPROACH FOR THE EXTRACTION OF THE KOLOUMBO VOLCANO AND ASSOCIATED DOMES-CONES FROM A DIGITAL SEABED ELEVATION MODEL

2017 ◽  
Vol 50 (3) ◽  
pp. 1616
Author(s):  
D. Βampourda ◽  
D. Argialas ◽  
P. Nomikou ◽  
A. Tzotsos
Keyword(s):  
Image Analysis ◽  
Analysis Approach ◽  
Topographic Position Index ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Digital Elevation ◽  
Position Index ◽  
Elevation Model ◽  
Comparison Of The Results ◽  
Geomorphological Features

This paper concerns the study of the seafloor through digital seabed elevation models, using object based image analysis methods. The goal of this research was the automated extraction of geomorphological features from the seabed in regions presenting intense volcanic activity. The study area is located around the submarine volcano of the Kolοumbo (in the submarine area northeast of the Santorini island, Greece). For this purpose, a Digital Elevation Model (DEM) of the seabed with a spatial resolution of 50m was used. Derivatives of the DEM, such us Slope, Topographic Position Index (TPI) and Terrain Ruggedness Index (TRI) were created in the open source software "QGIS 2.4". The implementation of the object based image analysis approach was performed in eCognition 8.7 software. Nine segmentation and classification levels were created in order to produce the final level segmentation "level 5", where the final geomorphological features were classified. The results of the method were evaluated using classification stability measures and qualitative and quantitative comparison of the results with existing map.

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