Data Fusion for Identity Estimation and Tracking of Centroidusing Imaging Sensor Data

Data Fusion for Identity Estimation and Tracking of Centroid using Imaging Sensor Data

Two aspects involved in automatic target recognition namely, (i) Location and identity estimation (LIE) of a target by fusing infrared (IR) and acoustic sensor data, and (ii) centroid tracking for target state estimation using IR sensor data are discussed in this paper. The LIE has been achieved using a combination of Bayesian fusion and one of the three search algorithms namely, metropolis has...

Adaptive Fusion of Inertial Navigation System and Tracking Radar Data

Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...

adaptive fusion of inertial navigation system and tracking radar data

against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (ins/radar). this filter involves the concept of residual-based adaptive estimation and adaptive fading kalman filter and tunes dynamically the fil...

SPOT-5 Spectral and Textural Data Fusion for Forest Mean Age and Height Estimation

Precise estimation of the forest structural parameters supports decision makers for sustainable management of the forests. Moreover, timber volume estimation and consequently the economic value of a forest can be derived based on the structural parameter quantization. Mean age and height of the trees are two important parameters for estimating the productivity of the plantations. This research ...

Multi - Sensor Data Fusion for Representing and Tracking Dynamic Objects