360° IMAGES FOR UAV MULTISENSOR DATA FUSION: FIRST TESTS AND RESULTS

Direct Photogrammetry Using Uav: Tests and First Results

In recent years, the quality of high resolution acquisition platforms for geomatic applications has decidedly increased, especially in the performance of the sensors devoted to image acquisition. The small size of these new sensors combined with the increase in resolution allows them to be easily mounted onto Unmanned Aerial Vehicles (UAVs); in particular, calibrated, very-high-resolution digit...

Multisensor Data Fusion

Multisensor Super Resolution Using Directionally-Adaptive Regularization for UAV Images

In various unmanned aerial vehicle (UAV) imaging applications, the multisensor super-resolution (SR) technique has become a chronic problem and attracted increasing attention. Multisensor SR algorithms utilize multispectral low-resolution (LR) images to make a higher resolution (HR) image to improve the performance of the UAV imaging system. The primary objective of the paper is to develop a mu...

Multisensor Data Fusion

IMultisensor data fusion refers to the acquisition, processing and synergistic combination of information gathered by various knowledge sources and sensors to provide a better understanding of a phenomenon. It is a fascinating and rapidly evolving field that has generated a lot of excitement in the research and development community. These concepts are being applied to a wide variety of fields ...

Approaches to Multisensor Data Fusion

s part of an Office of Naval Research–funded science and technology development task, APL is developing an identification (ID) sensor data fusion testbed. The testbed is driven by an APL-modified version of the Joint Composite Tracking Network pilot benchmark called the Composite Combat ID Analysis Testbed (CAT). The CAT provides accurate tracking for realistic scenarios involving multiple targ...