0018-9251/99/$10.00 @ 1999 IEEE Remotely sensed images have been used in a broad range of applications ranging from geology, agriculture, and global change detection to defense and law enforcement [ 11. They are generally acquired by multiple-band sensors operated from either a spaceborne or an airborne platform. Examples include satellite multispectral sensors such as Landsat 7-band Thematic M...

Package dlm focuses on Bayesian analysis of Dynamic Linear Models (DLMs), also known as linear state space models (see [H, WH]). The package also includes functions for maximum likelihood estimation of the parameters of a DLM and for Kalman filtering. The algorithms used for Kalman filtering, likelihood evaluation, and sampling from the state vectors are based on the singular value decompositio...

Object tracking is very important for automatic indexing of video content. This work shows tracking of objects directly using compressed MPEG video data. Two sensors, one using motion vectors and the other using DCT coefficients obtained from compressed video stream, provide measurements for the location of the object being tracked. The optimal estimate from the two measurements is found using ...

The concept of block signal processing is extended to the Kalman filtering problem. Block processing algorithms are developed for stite/signal estimation in noisy linear systems and it is shown that smoothed estimates are naturally obtained. Further, block processing is shown to reduce sensitivity to computational errors, and promises a reduction in the amount of computation, although at a cost...

A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is general in two significant ways. First, it is suitable for tracking of both, rigid and elastic objects. Second, it is suitable for tracking using both, fixed cameras and moving cameras since the method does not rely on backgr...

We discuss the use of low-dimensional physical models of the voice source for speech coding and processing applications. A class of waveform-adaptive dynamic glottal models and parameter tracking procedures are illustrated. The model and analysis procedures are assessed by addressing speech encoding and enhancement, achievable by using a state space version of the dynamical model in a Extended ...

Multi-user detection is an effective method to reduce multiple access interference in code division multiple access (CDMA) systems. This paper discusses a signal subspace based blind adaptive multiuser detector and a Kalman filtering blind adaptive multiuser detector. Combining them together, a new Kalman filtering blind adaptive multiuser detector based on a tracking algorithm of the signal su...

State estimation problems for linear time-invariant systems with noisy inputs and outputs are considered. An efficient recursive algorithm for the smoothing problem is presented. The equivalence between the optimal filter and an appropriately modified Kalman filter is established. The optimal estimate of the input signal is derived from the optimal state estimate. The result shows that the nois...

This article investigates the iterative learning control (ILC) problem for a remote network control systems. To reduce wireless channel noise, a novel method of Kalman filtering is combined into the remote ILC system. The Kalman filtering reduce stochastic error on time axis, while the ILC operates on iteration axis. The convergence of the proposed system was analyzed and the convergence condit...