FIELD: agriculture.
SUBSTANCE: invention relates to the field of agriculture, in particular to methods for remote ground sounding and methods for image processing. It can be used for assessment of a condition of vegetation cover. The claimed method for detection of abnormal development of agrophytocenoses is based on analysis of spatial distribution of quantitative assessments of photosynthetic active biomass of plants. A normalized difference vegetation index (hereinafter – NDVI) is used as an assessment of characteristics of a condition of agrocenosis objects, which is precalculated based on aerospace survey materials. An image is first preprocessed by means of mathematical morphology operations on a raster image. Next, NDVI values are clustered, and a new image is generated, consisting of class labels. Upon the results of cluster analysis, spatial filtration is carried out, and the image is segmented based on a decision rule. The next step is search for the minimum and maximum value of NDVI inside each segment relatively to the source raster image. In conclusion, spatial coordinates of the obtained results are determined.
EFFECT: increase in the reliability of detection of abnormal development of agrophytocenoses.
7 cl
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Authors
Dates
2022-12-05—Published
2019-08-28—Filed