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ICIP
2010
IEEE
13 years 2 months ago
Geometrical features for the classification of very high resolution multispectral remote-sensing images
In order to extract geometrical features from a multispectral image and derive a classification, an approach based on the topographic map of the image is proposed. For each pixel,...
Bin Luo, Jocelyn Chanussot
ICIP
2009
IEEE
13 years 2 months ago
Directional mathematical morphology for the detection of the road network in Very High Resolution remote sensing images
This paper presents a new method for extracting roads in Very High Resolution remotely sensed images based on advanced directional morphological operators. The proposed approach i...
Silvia Valero, Jocelyn Chanussot, Jon Atli Benedik...
ISCA
2007
IEEE
217views Hardware» more  ISCA 2007»
13 years 4 months ago
Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
David Valencia, Antonio Plaza, Pablo Martín...
ICIP
2007
IEEE
13 years 4 months ago
Robust Road Extraction for High Resolution Satellite Images
Automatic road extraction is a critical feature for an efficient use of remote sensing imagery in most contexts. This paper proposes a robust geometric method to provide a first...
Emmanuel Christophe, Jordi Inglada
VISSYM
2007
13 years 7 months ago
Parametric Visualization of High Resolution Correlated Multi-spectral Features Using PCA
An imaging mass spectrometer is an analytical instrument that can determine the spatial distribution of chemical compounds on complex surfaces. The output of the device is a multi...
Alexander Broersen, Robert van Liere, Ron M. A. He...