| Remote sensing is the field concerned with studying objects far removed from the observer. All endeavors in this field can be viewed as a process: the existence of a physical phenomenon, it's observation via sensor(s), information extraction from the sensor data and, finally, the exploitation of that information for some application. Within this field is a set of problems, "layered sensing," that focuses on the combination of information from several such processes for a common application. Due to differences in sensor data at varying scales of removal from the observed phenomenon, this task in non-trivial.;In this work, we present a complete system that combines information from three such remote sensing processes at different scales and with data from different sensor types into single, coherent representation. This system consists of algorithms that outperform the current state of the art for each process and produce representations of the results that are readily consumable by each. |
