A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-class Markovian segmentation of high-resolution sonar images
Computer Vision and Image Understanding
Anomaly detection based on an iterative local statistics approach
Signal Processing
Derived PDF of maximum likelihood signal estimator which employs anestimated noise covariance
IEEE Transactions on Signal Processing
Performance analysis of a class of transient detection algorithms-aunified framework
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Hyperspectral imagery: clutter adaptation in anomaly detection
IEEE Transactions on Information Theory
Estimation and choice of neighbors in spatial-interaction models of images
IEEE Transactions on Information Theory
IEEE Transactions on Image Processing
A simple unsupervised MRF model based image segmentation approach
IEEE Transactions on Image Processing
Efficient detection in hyperspectral imagery
IEEE Transactions on Image Processing
Long-correlation image models for textures with circular and elliptical correlation structures
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
A random-field model-based algorithm for anomalous complex image pixel detection
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
Hi-index | 0.09 |
In this paper, we present a multi-resolution random field model (RFM) and a corresponding algorithm for anomaly subspace detection. We utilize the redundant discrete wavelet transform (RDWT) for generating a multi-resolution feature space, and model each layer by a non-casual RFM with different sets of parameters. A multi-resolution matched subspace detector (MSD) is designed for detecting targets in the background multi-resolution RFM noise environment. The improved performance of the proposed algorithm is demonstrated compared to using an MSD-based anomaly detector and multi-resolution Gaussian Markov random field (GMRF) model.