Add to ORKGOne of the most important tasks in urban remote sensing is the detection of impervious surfaces (IS), such as roofs and roads. However, detection of IS in heterogeneous areas still remains one of the most challenging tasks. In this study, detection of concrete roof using an object-based approach was proposed. A new rule-based classification was developed to detect concrete roof tile. This proposed rule-based classification was applied to WorldView-2 image and results showed that the proposed rule has good potential to predict concrete roof material from WorldView-2 images, with 85% accuracy
Of late, application of data mining for pattern recognition and feature classification is fast becom...
The current urban environment is very dynamic and always changes both physically and socio-economica...
The new advances of having eight bands satellite mission similar to WorldView-2, WV-2, give the chan...
One of the most important tasks in urban remote sensing is the detection of impervious surfaces (IS)...
One of the most challenging tasks in urban remote sensing is detection of impervious surface (IS) wh...
The detection of impervious surface (IS) in heterogeneous urban areas is one of the most challenging...
This paper suggests an algorithm for extracting the location of a building from satellite imagery an...
Land monitoring requires remote sensing data, which varies in its spectral and spatial resolution. R...
International audienceThe objective of this research is to explore the capabilities of the hyperspec...
Identification of roofing material is an important issue in the urban environment due to hazardous a...
© Authors 2018. CC BY 4.0 License. As more cities are starting to experience the urban heat islands ...
As more cities are starting to experience the urban heat islands effect, knowledge about the energy ...
Advances in geotechnologies and in remote sensing have improved analysis of urban environments. The ...
Urbanization is commonly accepted as an important contributor to the growth of man-made structures a...
Mapping of surface materials in urban areas using aerial imagery is a challenging task. This is beca...
Of late, application of data mining for pattern recognition and feature classification is fast becom...
The current urban environment is very dynamic and always changes both physically and socio-economica...
The new advances of having eight bands satellite mission similar to WorldView-2, WV-2, give the chan...
One of the most important tasks in urban remote sensing is the detection of impervious surfaces (IS)...
One of the most challenging tasks in urban remote sensing is detection of impervious surface (IS) wh...
The detection of impervious surface (IS) in heterogeneous urban areas is one of the most challenging...
This paper suggests an algorithm for extracting the location of a building from satellite imagery an...
Land monitoring requires remote sensing data, which varies in its spectral and spatial resolution. R...
International audienceThe objective of this research is to explore the capabilities of the hyperspec...
Identification of roofing material is an important issue in the urban environment due to hazardous a...
© Authors 2018. CC BY 4.0 License. As more cities are starting to experience the urban heat islands ...
As more cities are starting to experience the urban heat islands effect, knowledge about the energy ...
Advances in geotechnologies and in remote sensing have improved analysis of urban environments. The ...
Urbanization is commonly accepted as an important contributor to the growth of man-made structures a...
Mapping of surface materials in urban areas using aerial imagery is a challenging task. This is beca...
Of late, application of data mining for pattern recognition and feature classification is fast becom...
The current urban environment is very dynamic and always changes both physically and socio-economica...
The new advances of having eight bands satellite mission similar to WorldView-2, WV-2, give the chan...