Energy-Efficient Time-of-Flight Estimation in the Presence of Outliers: A Machine Learning Approach

Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing

“…The search for patterns in large databases in [35] poses interesting teaching/learning problems that are common to diverse image modalities such as optical and SAR. Additionally, [56] proposes a method for the estimation of time of flight in sonar and radars, while [31] turns the focus far from our planet by studying the presence of minerals on Mars.…”