- Published: February 2012
- Region: Global
This product is currently not available for purchase.
Processing Imagery for Low-Cost Autonomous Remote Sensing Platforms. Edition No. 1
- Published: July 2010
- Region: Global
- 68 Pages
- VDM Publishing House
Remote sensing helps many applications like precision irrigation, habitat mapping, and traffic monitoring. However, due to shortcomings of current remote sensing platforms - like high cost, low spatial, and temporal resolution - many applications do not have access to useful remote sensing data. A team at the Center for Self-Organizing and Intelligent Systems (CSOIS) together with the Utah Water Research Laboratory (UWRL) at Utah State University has been developing a new remote sensing platform to deal with these shortcomings in order to give more applications access to remote sensing data. This platform (AggieAir) is low cost, fully autonomous, easy to use, independent of a runway, has a fast turnover time, and a high spatial resolution. A program called the Geospatial Real-Time Aerial Image Display (gRAID) has also been developed to process the images taken from AggieAir. gRAID is able to correct the camera lens distortion, georeference, and display the images on a 3D globe, and export them in a conventional Geographic Information System (GIS) format for further processing. AggieAir and gRAID prove to be innovative and useful tools for remote sensing.
Austin Jensen is currently working at Utah State University (USU) as a research engineer while working on his PhD. At USU, Austin plays a major part in the UAV program by participating in the development of USU's UAV remote sensing platform (AggieAir), and by running a service center which provides aerial imagery using AggieAir.