Urban slum detection using texture and spatial metrics derived from satellite imagery
Slum detection from satellite imagery is challenging due to the variability in slum types and
definitions. This research aimed at develo** a method for slum detection based on the …
definitions. This research aimed at develo** a method for slum detection based on the …
The potentials of Sentinel-2 and LandSat-8 data in green infrastructure extraction, using object based image analysis (OBIA) method
Green infrastructure (GI) map** and monitoring is crucial in urban areas, and remote
sensing is widely used to accomplish the task. Improved moderate resolution Sentinel-2A …
sensing is widely used to accomplish the task. Improved moderate resolution Sentinel-2A …
An object-based semantic classification method for high resolution remote sensing imagery using ontology
Geographic Object-Based Image Analysis (GEOBIA) techniques have become increasingly
popular in remote sensing. GEOBIA has been claimed to represent a paradigm shift in …
popular in remote sensing. GEOBIA has been claimed to represent a paradigm shift in …
A multi-level semantic scene interpretation strategy for change interpretation in remote sensing imagery
Remotely sensed images represent an important source of information for monitoring land
changes that may occur. There is, therefore, a need to analyze and interpret such …
changes that may occur. There is, therefore, a need to analyze and interpret such …
Ontology-based classification of remote sensing images using spectral rules
Earth Observation data is of great interest for a wide spectrum of scientific domain
applications. An enhanced access to remote sensing images for “domain” experts thus …
applications. An enhanced access to remote sensing images for “domain” experts thus …
Leveraging machine learning to extend ontology-driven geographic object-based image analysis (O-GEOBIA): A case study in forest-type map**
Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) contributes to the
identification of meaningful objects. In fusing data from multiple sensors, the number of …
identification of meaningful objects. In fusing data from multiple sensors, the number of …
Towards a framework for agent-based image analysis of remote-sensing data
Object-based image analysis (OBIA) as a paradigm for analysing remotely sensed image
data has in many cases led to spatially and thematically improved classification results in …
data has in many cases led to spatially and thematically improved classification results in …
Agricultural systems studies using remote sensing
114 Land Resources Monitoring, Modeling, and Map** with Remote Sensing global
scales, with a particular emphasis on the various pathways toward agricultural …
scales, with a particular emphasis on the various pathways toward agricultural …
Benchmarking the applicability of ontology in geographic object-based image analysis
In Geographic Object-based Image Analysis (GEOBIA), identification of image objects is
normally achieved using rule-based classification techniques supported by appropriate …
normally achieved using rule-based classification techniques supported by appropriate …
An ontology-based framework for the automated analysis and interpretation of comic books' images
Since the beginning of the twenty-first century, the cultural industry has been through a
massive and historical mutation induced by the rise of digital technologies. The comic books …
massive and historical mutation induced by the rise of digital technologies. The comic books …