Includes abstract.Includes bibliographical references.In this paper, a multi level contextual classification approach of the City of Cape Town, South Africa is presented. The methodology developed to identify the different objects using the multi level contextual technique comprised three important phases
Remotely sensed images are used for many purposes in today’s world. In this paper, we explore the po...
The paper addresses the analysis of urban and rural settlement patterns in North, West and South Afr...
This paper presents a method for the classification of satellite images into multiple predefined lan...
This dissertation proposes an automated land-use zoning system based on the context of an urban scen...
Urban regions present some of the most challenging areas for the remote sensing community. Many diff...
Includes abstract.Includes bibliographical references.It is essential for geospatial and mapping org...
Spectral similarities and spatial adjacencies between various kinds of objects, shadow, and occlude...
We present a study for the evaluation of the efficiency of context features in object-based land-use...
Spectral similarities, spatial adjacencies and complex relationships between various object types le...
This doctoral thesis investigates the potential of classification methods based on spatial context t...
The availability of very high spatial and temporal resolution remote sensing data facilitates mappin...
The delimitation of urban areas, and in Africa in particular, remains a challenging issue and is an ...
Organic studies inspire cues for modelling logic in image processing and become a basis for the deve...
M. Sc. University of KwaZulu-Natal, Durban 2014.In metropolitan and urban areas, the problems relati...
The identification, extraction, classification and mapping of detailed, but reliable Land Use or Lan...
Remotely sensed images are used for many purposes in today’s world. In this paper, we explore the po...
The paper addresses the analysis of urban and rural settlement patterns in North, West and South Afr...
This paper presents a method for the classification of satellite images into multiple predefined lan...
This dissertation proposes an automated land-use zoning system based on the context of an urban scen...
Urban regions present some of the most challenging areas for the remote sensing community. Many diff...
Includes abstract.Includes bibliographical references.It is essential for geospatial and mapping org...
Spectral similarities and spatial adjacencies between various kinds of objects, shadow, and occlude...
We present a study for the evaluation of the efficiency of context features in object-based land-use...
Spectral similarities, spatial adjacencies and complex relationships between various object types le...
This doctoral thesis investigates the potential of classification methods based on spatial context t...
The availability of very high spatial and temporal resolution remote sensing data facilitates mappin...
The delimitation of urban areas, and in Africa in particular, remains a challenging issue and is an ...
Organic studies inspire cues for modelling logic in image processing and become a basis for the deve...
M. Sc. University of KwaZulu-Natal, Durban 2014.In metropolitan and urban areas, the problems relati...
The identification, extraction, classification and mapping of detailed, but reliable Land Use or Lan...
Remotely sensed images are used for many purposes in today’s world. In this paper, we explore the po...
The paper addresses the analysis of urban and rural settlement patterns in North, West and South Afr...
This paper presents a method for the classification of satellite images into multiple predefined lan...