The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...
This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayes...
We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of gabor filters is use...
We introduce a novel method for representing and coding wideband signals using permutations. The signal samples are first sorted, and then encoded using Differential Pulse Coding...
Marios S. Pattichis, Alan C. Bovik, John W. Havlic...
As IKONOS satellite with 1m-resolution camera has been launched in 1999, mapping using space-borne images will be a hot issue in computer vision area as well as photogrammetry, ma...
Hae-Yeoun Lee, Heung-Kyu Lee, Tak-gon Kim, Wonkyu ...
Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. HMM method ...
This paper describes a content-based image retrieval system that employs both higher-level and lower-level vision methodologies separately and in conjunction for the retrieval of ...
We proposed an intensity-based morphological pyramid image registration algorithm. This approach utilizes the global affine transformation model, also considering radiometric chan...