In urban areas, information concerning very high resolution land cover and especially material maps are necessary for several city modelling or monitoring applications. That is to say, knowledge concerning the roofing materials or the different kinds of ground areas is required. Airborne remote sensing techniques appear to be convenient for providing such information at a large scale. However, results obtained using most traditional processing methods based on usual red-green-blue-near infrared multispectral images remain limited for such applications. A possible way to improve classification results is to enhance the imagery spectral resolution using superspectral or hyperspectral sensors. In this study, it is intended to design a superspe...
Urban areas are among the most dynamic regions on earth, continuously and rapidly changing. For moni...
Classification of urban materials using remote sensing data, in particular hyperspectral data, is co...
Monitoring roofing materials and conditions are important to improve urban management and support th...
In urban areas, information concerning very high resolution land cover and especially material maps ...
Hyperspectral remote sensing data open up new opportunities for analyzing urban areas characterized ...
In contrast to widely used multispectral data, hyperspectral imagery resolves material-specific spec...
Impervious surface discrimination and mapping are important in urban and environ-mental studies. Con...
ABSTRACT Spectral band selection is one of the most important research area in hyperspectral remote...
Classification of materials found in urban areas using remote sensing, in particular with hyperspect...
Urban surface materials have an immense influence on ecological conditions of urban areas. In this c...
Urban areas are characterised by a high heterogeneity of surfaces. In this context hyperspectral ima...
With evolving technology of hyperspectral remote sensors, land surface analyses have been successful...
International audienceThis paper explores the recognition uncertainty of urban objects by multiband ...
Hyperspectral technology is useful for urban studies due to its capability in examining detailed spe...
International audienceThe development of the hyperspectral imagery, gives an opportunity to characte...
Urban areas are among the most dynamic regions on earth, continuously and rapidly changing. For moni...
Classification of urban materials using remote sensing data, in particular hyperspectral data, is co...
Monitoring roofing materials and conditions are important to improve urban management and support th...
In urban areas, information concerning very high resolution land cover and especially material maps ...
Hyperspectral remote sensing data open up new opportunities for analyzing urban areas characterized ...
In contrast to widely used multispectral data, hyperspectral imagery resolves material-specific spec...
Impervious surface discrimination and mapping are important in urban and environ-mental studies. Con...
ABSTRACT Spectral band selection is one of the most important research area in hyperspectral remote...
Classification of materials found in urban areas using remote sensing, in particular with hyperspect...
Urban surface materials have an immense influence on ecological conditions of urban areas. In this c...
Urban areas are characterised by a high heterogeneity of surfaces. In this context hyperspectral ima...
With evolving technology of hyperspectral remote sensors, land surface analyses have been successful...
International audienceThis paper explores the recognition uncertainty of urban objects by multiband ...
Hyperspectral technology is useful for urban studies due to its capability in examining detailed spe...
International audienceThe development of the hyperspectral imagery, gives an opportunity to characte...
Urban areas are among the most dynamic regions on earth, continuously and rapidly changing. For moni...
Classification of urban materials using remote sensing data, in particular hyperspectral data, is co...
Monitoring roofing materials and conditions are important to improve urban management and support th...