METHODOLOGICAL APPROACH TO SUBSTANTIATING REQUIREMENTS FOR IMAGING MINE DETECTION EQUIPMENT INSTALLED ON UNMANNED AERIAL VEHICLES
Abstract
The article proposes a methodological approach to substantiating requirements for the equipment installed on copter-type unmanned aerial vehicles for imagery mine detection in the visible wavelength range of the electromagnetic spectrum, for the purpose of mine clearance. Digital photographic and multi-zone photographic cameras are considered.
A goal of the article is to develop a methodological approach and apply it to substantiate requirements for imaging mine detection equipment installed on unmanned aerial vehicles.
The methodological approach is based on the mine signature model and a set of specific principles, including the principle of "modulation", the principle of "adaptation", the principle of "purposeful behavior", the principle of "external turbulence", the principle of "internal resistance", the principle of "mobility of the situation", the principle of "the forecasting ability", and the principle of "the unity of parts as a whole". Taking into account the interrelated parameters of the imaging mine detection equipment, the article shapes the required set of requirements for aerial mine detection heights, the matrix pixel size (spatial resolution) of imaging mine detection equipment, the mine/background brightness and contrast, the focal length and optical lens brightness of mine detection equipment, radiometric resolution, spectral resolution, and the weight of imaging mine detection equipment. The probability of performing the task of mine situation reconnaissance in the visible range of wavelengths of the electromagnetic spectrum by imaging mine detection equipment installed on unmanned aerial vehicles was chosen as the main criterion.
Further research may include compiling spectrozonal libraries for each type of mines, to make the most of hyperspectral landmine detection imaging, as well as developing requirements for imaging naval mine detection equipment installed on unmanned aerial vehicles.
