Wstępna selekcja kanałów spektralnych w procesie rozpoznania obrazowego

Abstract. Constant advances in methods of camoufl age are responsible for the progress in image reconnaissance and the distinguishing between objects and their natural background. Th e main problems attributable to the nature of the background and materials used to camoufl age the object are: the way in which image reconnaissance should be conducted, the choice of spectral bands used, the choice of algorithms used to process the images and methods of visualizing the results. In our studies we have applied an algorithm to evaluate the contrast of the acquired hyperspectral images. We carried out a comparative analysis of methods used to recognize objects based on single images, on two spectral bands and using an automated method of creating hyperspectral compositions. Additionally, the methods had been classifi ed in terms of their ability to recognize objects with a known and unknown spectral curve. Th is methodology is based on the “Mahalanobis distance”. It proves that there is a need to acquire multiband imagery information in order to make the process of object recognition more effi cient.