Using ANN and UAV for terrain surveillance

Author

Felizardo, Luiz F. ; Mota, Rodrigo L. ; Shiguemori, Elcio H. ; Neves, Marcos T. ; Ramos, Alexandre B. ; Mora-Camino, Felix

Author_Institution

Inst. of Math. & Comput., Fed. Univ. of Itajuba, Itajuba, Brazil

fYear

2013

Firstpage

1

Lastpage

5

Abstract

Autonomous Unmanned Aerial Vehicles (UAVs) provide an effective alternative for surveillance in urban areas due to their cost and safety when compared to other traditional methods. The objective of this study is to report the development of a system capable of analyzing digital images of the terrain and identifying potential invasion, unauthorized changes in land and deforestation in some special urban areas. Images are captured by a camera attached to an autonomous helicopter, flying it around the area. For processing the images, an Artificial Neural Network (ANN) technique called Self Organizing Map (SOM) is used.

Keywords

autonomous aerial vehicles; helicopters; neurocontrollers; robot vision; self-organising feature maps; surveillance; ANN; SOM; UAV; artificial neural network; autonomous helicopter; autonomous unmanned aerial vehicles; deforestation; digital image; land; self organizing map; terrain surveillance; urban area; Aircraft; Global Positioning System; Image segmentation; Reliability; Kohonen SOM; Pattern recognition; UAV; autonomous helicopter; surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems (HIS), 2013 13th International Conference on

Conference_Location

Gammarth

Print_ISBN

978-1-4799-2438-7

Type

conf

DOI

10.1109/HIS.2013.6920414

Filename

6920414