The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-1/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 305–312, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W4-305-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 305–312, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W4-305-2015

  26 Aug 2015

26 Aug 2015

MISSION-ORIENTED SENSOR ARRAYS AND UAVs – A CASE STUDY ON ENVIRONMENTAL MONITORING

N. M. Figueira1,3, I. L. Freire2, O. Trindade3, and E. Simões3 N. M. Figueira et al.
  • 1Brazilian Army, Dept. of Science and Technology, Quartel-General do Exército - Bloco G - 3º Andar, Brasília, Brazil
  • 2Dept. of Computer Science, Minas Gerais Federal University, Av. Antônio Carlos, 6627, Belo Horizonte, Brazil
  • 3São Paulo University, São Paulo, Av. Trabalhador São Carlense, São Carlos, 400, Brazil

Keywords: MOSA, Sound Source Localization, Thematic Maps, Multi-Sensor Data Fusion, Model Driven Development, Environmental Monitoring

Abstract. This paper presents a new concept of UAV mission design in geomatics, applied to the generation of thematic maps for a multitude of civilian and military applications. We discuss the architecture of Mission-Oriented Sensors Arrays (MOSA), proposed in Figueira et Al. (2013), aimed at splitting and decoupling the mission-oriented part of the system (non safety-critical hardware and software) from the aircraft control systems (safety-critical). As a case study, we present an environmental monitoring application for the automatic generation of thematic maps to track gunshot activity in conservation areas. The MOSA modeled for this application integrates information from a thermal camera and an on-the-ground microphone array. The use of microphone arrays technology is of particular interest in this paper. These arrays allow estimation of the direction-of-arrival (DOA) of the incoming sound waves. Information about events of interest is obtained by the fusion of the data provided by the microphone array, captured by the UAV, fused with information from the termal image processing. Preliminary results show the feasibility of the on-the-ground sound processing array and the simulation of the main processing module, to be embedded into an UAV in a future work. The main contributions of this paper are the proposed MOSA system, including concepts, models and architecture.