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» Textural Features for Hyperspectral Pixel Classification
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CIARP
2009
Springer
13 years 9 months ago
Filter Banks for Hyperspectral Pixel Classification of Satellite Images
Abstract. Satellite hyperspectral imaging deals with heterogenous images containing different texture areas. Filter banks are frequently used to characterize textures in the image ...
Olga Rajadell, Pedro García-Sevilla, Filibe...
IBPRIA
2009
Springer
13 years 8 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...
IBPRIA
2003
Springer
13 years 10 months ago
Pixel-Based Texture Classification by Integration of Multiple Texture Feature Evaluation Windows
A wide variety of texture feature extraction methods have been proposed for texture based image classification and segmentation. These methods are typically evaluated over windows...
Domènec Puig, Miguel Angel García
ICIP
2003
IEEE
14 years 6 months ago
Pixel classification through divergence-based integration of texture methods with conflict resolution
This paper presents a new technique for combining multiple texture feature extraction methods in order to classify the pixels of an input image into a set of texture models of int...
Domènec Puig, Miguel Angel García
ICIP
2000
IEEE
14 years 6 months ago
Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation
In this paper, we describe a new approach for color texture featureextraction and selection. We definecolortexturefeatures as texture features which are computed by taking into ac...
Nicolas Vandenbroucke, Ludovic Macaire, Jack-G&eac...