Object of study. Planned distribution establishment of erosive “spots” of the agricultural lands is based on the processing of binary images of aerial photographic materials using morphological and planimetric methods of analysis. Methodology. Offered methodology is based on the non-linear operators’ application. These operators are mathematically described by the theoretical and set formalism. Mathematical morphology uses two main morphological filters which can be represented as a successive combination of two stages of image analysis on the basis of the morphological operators using: constriction and extending. Results. For obtaining maximal image characteristics it was suggested to carry out processing in the following sequence: binarization, segmentation, and morphological and planimetric definitions. Binarization content is characterized by bright spots, which show the release of soil-forming rocks to the surface, which can be divided by well-known method of prof. V. M. Sokolova (with sequential split pixels). The above-mentioned process is mostly used in digital photogrammetry. The corresponding mathematical apparatus is represented. The next stage of binary image processing is the allocation of adjacent boundaries and sites by the Laplace’s method of segmentation. In such a case, an estimation of two different contrast areas A and B is conducted. To determine the boundaries of their division, the marks of the contrast ratio’s second derivative are estimated. It is offered to carry out segmentation according to graph theory. An illustration of this segmentation is represented graphically. At the third stage of the study, morphological and planimetric determinations were performed on the investigated image using 2 × 2 pixel masks. As a result, it is possible to calculate statistical distributions of spots on aerial photographs by area, perimeter, and factor form. Scientific novelty. The offered method of step-by-step processing of aerial photography is based on the use of binary and segmentation methods which allow acquiring a precise image and more accurate results of morphological and planimetric definitions. Practical significance. According to the above-mentioned algorithm, some morphometric characteristics of spots on aerial photographs were analyzed: area, perimeter, and form factor. Application examples which confirm the universality of the suggested method for analyzing images in a microphotogrammetry are given in the work [Melnyk, 2013].
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