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Identification and Classification of Drop Zones and Helicopter Landing Zones in Images Obtained by Small Size Remotely Piloted Aircraft Systems

In disaster management activities or conflict, it is of utmost importance to have accurate information about the terrain. Due to the practicality of the Remotely Piloted Aircraft Systems (RPAS), this paper proposes the use of these tools at the identification of Drop Zones (DZs), designated as areas into which troops or supplies are dropped by parachute, and Helicopter Landing Zones (HLZs), that can play an important role in the rescue of victims. The use of digital image processing enables the automatic generation, in a short amount of time and with good precision, of an orthorectified mosaic and a Digital Surface Model (DSM), which are fundamental to the terrain's comprehension. Afterward, new attributes are generated from the original image and such information is used by the decision trees to determine the areas of interest. The obtained results indicate that all the areas extracted really can be useful for the purpose.