Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
The nature of statistical learning theory
The nature of statistical learning theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Independent Component Analysis by Using Joint Cumulants and its Application to Remote Sensing Images
Journal of VLSI Signal Processing Systems
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Biometrics: Personal Identification in Networked Society
Biometrics: Personal Identification in Networked Society
Character Recognition Systems: A Guide for Students and Practitioners
Character Recognition Systems: A Guide for Students and Practitioners
Remote Sensing and Image Interpretation
Remote Sensing and Image Interpretation
Markov Random Field Texture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Compound Gauss-Markov random fields for image estimation
IEEE Transactions on Signal Processing
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
Estimation and choice of neighbors in spatial-interaction models of images
IEEE Transactions on Information Theory
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Visual enhancement of old documents with hyperspectral imaging
Pattern Recognition
On the influence of spatial information for hyper-spectral satellite imaging characterization
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Archaeological trace extraction by a local directional active contour approach
Pattern Recognition
Cascaded classification of high resolution remote sensing images using multiple contexts
Information Sciences: an International Journal
Parsimonious Mahalanobis kernel for the classification of high dimensional data
Pattern Recognition
Border extrapolation using fractal attributes in remote sensing images
Computers & Geosciences
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Remote sensing with sensors mounted on satellites or aircrafts is much needed for resource management, environmental monitoring, disaster response, and homeland defense. Remote sensing data considered include those from multispectral, hyperspectral, radar, optical, and infrared sensors. Classification is often one of the major tasks in information processing. For example, we need to identify vegetations, waterways, and man-made structures from remote sensing of earth. The large amount of data available makes remote sensing data uniquely suitable for statistical pattern recognition. This paper will address several issues on statistical pattern recognition that are related to information processing in remote sensing. Though the paper is largely tutorial in nature, some specific issues considered are image models for characterization of contextual information, neural networks for image classification, and the performance measures. Either to supplement the capability of sensors or to effectively utilize the enormous amount of sensor data, many advances in statistical pattern recognition can be very useful in machine recognition of the data. The potentials and opportunities of using statistical pattern recognition in remote sensing are indeed unlimited.