3 citations · 3 across the 9 of their papers we have counts for
9 papers
NIR-EKF: Normalized Innovation Ratio-Based EKF for Robust State Estimation
Talha Nadeem, Khurram Ali, Muhammad Tahir
Sensors deployed in real-world conditions often produce measurements corrupted by outliers due to model uncertainties, changes in the surrounding environment, and/or data loss. As…
PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask
Muhammad Abdul Rahman, Muhammad Ahmad Waseem, Zubair Khalid +2
Any policy-level decision-making procedure and academic research involving the optimum use of resources for development and planning initiatives depends on accurate population dens…
EMORF/S: EM-Based Outlier-Robust Filtering and Smoothing With Correlated Measurement Noise
Aamir Hussain Chughtai, Muhammad Tahir, Momin Uppal
In this article, we consider the problem of outlier-robust state estimation where the measurement noise can be correlated. Outliers in data arise due to many reasons like sensor ma…
Feature Selection on Sentinel-2 Multi-spectral Imagery for Efficient Tree Cover Estimation
Usman Nazir, Momin Uppal, Muhammad Tahir +1
This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas. The key feature of the proposed…
Bayesian Heuristics for Robust Spatial Perception
Aamir Hussain Chughtai, Muhammad Tahir, Momin Uppal
Spatial perception is a key task in several machine intelligence applications such as robotics and computer vision. In general, it involves the nonlinear estimation of hidden varia…
A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition
Shoaib Imran, Muhammad Tahir, Zubair Khalid +1
Low-rank and sparse decomposition based methods find their use in many applications involving background modeling such as clutter suppression and object tracking. While Robust Prin…
Variational-Based Nonlinear Bayesian Filtering with Biased Observations
Aamir Hussain Chughtai, Arslan Majal, Muhammad Tahir +1
State estimation of dynamical systems is crucial for providing new decision-making and system automation information in different applications. However, the assumptions on the stan…
Outlier-Robust Filtering For Nonlinear Systems With Selective Observations Rejection
Aamir Hussain Chughtai, Muhammad Tahir, Momin Uppal
Considering a common case where measurements are obtained from independent sensors, we present a novel outlier-robust filter for nonlinear dynamical systems in this work. The propo…
Identification and Quantification of Aerosol Hot-spots over Lahore Region using MODIS Data
Safa~Ashraf, Zubair Khalid, Muhammad Tahir +1
The increased concentration of aerosols in the air caused by ever-rising urbanization and the development of various industries has horrendous consequences on human health, environ…