ICARUS presentation at ISRSE-34
Cristina Barrado presented a paper and a poster at the ISRSE Conference last April 2011 International Sysmposium of Remote Sensing of Environment http://www.isrse34.org/
Title: UAS ARCHITECTURE FOR FOREST FIRE REMOTE SENSING
Authors: P. ROYO, E. PASTOR, M. SOLÉ, J.M. LEMA, J. LÓPEZ, C. BARRADO
Authors: P. ROYO, E. PASTOR, M. SOLÉ, J.M. LEMA, J. LÓPEZ, C. BARRADO
Abstract – This paper presents the hardware/software architecture of the Sky-Eye UAS prototype. In particular
it details the hardware of the prototype, its operational concept and the software avionics architecture. The
software architecture is named UAS Service Abstraction Layer (USAL) and consists on the set of standard services
required for most UAS missions. The USAL is a distributed architecture which follows the publish / subscribe communication paradigm, allowing fast development of new functionalities. We describe the USAL services required to properly manage the remote sensing mission of hot spot detection. This includes the sensor management, data storage, communications, image processing, flight plan management and mission management.
Title Poster: Fast Geolocation for Hot Spot Detection
Authors: E. Salamí, C. Barrado, M. Pérez-Batlle, P. Royo, E. Santamaria, E. Pastor
Abstract – In this paper we present an algorithm for fast geolocation of hot spots from an infrared image taken
from an unmanned aircraft. The input data are the position and attitude of the aerial platform, and the
digital elevation model of the terrain. The down faced orientation of the camera and the stable flight of the
aircraft contribute to reduce the number of floating point operations needed for geolocation. These simplifications
will result on an increase of the accumulated errors, added to those of the measuring instruments. In the
paper we will compare the geolocation results of the complete computational model with the proposed fast
model.
it details the hardware of the prototype, its operational concept and the software avionics architecture. The
software architecture is named UAS Service Abstraction Layer (USAL) and consists on the set of standard services
required for most UAS missions. The USAL is a distributed architecture which follows the publish / subscribe communication paradigm, allowing fast development of new functionalities. We describe the USAL services required to properly manage the remote sensing mission of hot spot detection. This includes the sensor management, data storage, communications, image processing, flight plan management and mission management.
Title Poster: Fast Geolocation for Hot Spot Detection
Authors: E. Salamí, C. Barrado, M. Pérez-Batlle, P. Royo, E. Santamaria, E. Pastor
Abstract – In this paper we present an algorithm for fast geolocation of hot spots from an infrared image taken
from an unmanned aircraft. The input data are the position and attitude of the aerial platform, and the
digital elevation model of the terrain. The down faced orientation of the camera and the stable flight of the
aircraft contribute to reduce the number of floating point operations needed for geolocation. These simplifications
will result on an increase of the accumulated errors, added to those of the measuring instruments. In the
paper we will compare the geolocation results of the complete computational model with the proposed fast
model.
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