Theoretical aspects of morphological filters by reconstruction
Signal Processing
Total ordering based on space filling curves for multivalued morphology
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Hyperspectral Imaging: Techniques for Spectral Detection and Classification
Hyperspectral Imaging: Techniques for Spectral Detection and Classification
General Adaptive Neighborhood Image Processing
Journal of Mathematical Imaging and Vision
General Adaptive Neighborhood Image Processing
Journal of Mathematical Imaging and Vision
Iterative area filtering of multichannel images
Image and Vision Computing
Priority pixel queue algorithm for geodesic distance transforms
Image and Vision Computing
International Journal of Remote Sensing
Beyond self-duality in morphological image analysis
Image and Vision Computing
Editorial: Pattern Recognition in Remote Sensing
Pattern Recognition Letters
Pattern Recognition Letters
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
On the mean accuracy of statistical pattern recognizers
IEEE Transactions on Information Theory
IEEE Transactions on Image Processing
Fast computation of a contrast-invariant image representation
IEEE Transactions on Image Processing
Ant Colony Optimization for Image Regularization Based on a Nonstationary Markov Modeling
IEEE Transactions on Image Processing
Resolution- Independent Characteristic Scale Dedicated to Satellite Images
IEEE Transactions on Image Processing
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
IEEE Transactions on Image Processing
Flat zones filtering, connected operators, and filters by reconstruction
IEEE Transactions on Image Processing
Parsimonious Mahalanobis kernel for the classification of high dimensional data
Pattern Recognition
Applications of Hybrid Extreme Rotation Forests for image segmentation
International Journal of Hybrid Intelligent Systems
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Classification of remotely sensed images with very high spatial resolution is investigated. The proposed method deals with the joint use of the spatial and the spectral information provided by the remote-sensing images. A definition of an adaptive neighborhood system is considered. Based on morphological area filtering, the spatial information associated with each pixel is modeled as the set of connected pixels with an identical gray value (flat zone) to which the pixel belongs: The pixel's neighborhood is characterized by the vector median value of the corresponding flat zone. The spectral information is the original pixel's value, be it a scalar or a vector value. Using kernel methods, the spatial and spectral information are jointly used for the classification through a support vector machine formulation. Experiments on hyperspectral and panchromatic images are presented and show a significant increase in classification accuracies for peri-urban area: For instance, with the first data set, the overall accuracy is increased from 80% with a conventional support vectors machines classifier to 86% with the proposed approach. Comparisons with other contextual methods show that the method is competitive.