The invention provides an unmanned aerial vehicle
remote sensing monitoring and evaluating method and
system for field
orchard diseases and
insect pests, and relates to the technical field of
orchard disease and
insect pest monitoring and evaluating. The interference of complex
background noise is effectively eliminated by constructing a ternary separation index integrating feature enhancement,
background suppression and brightness normalization; a threshold value is determined based on the exponential distribution, pixels are accurately divided into a non-
canopy background, a shadow
canopy and an illumination
canopy, and fine segmentation of an unstructured scene is achieved; constructing a
gain compensation item by using a
local illumination reference mean value, correcting a shadow canopy
reflectivity curve, and eliminating illumination non-uniform interference; selecting a local high quantile to establish a health reference basis,
coupling a
discriminant item and an attenuation item, and resolving to obtain a
physiological stress index, so as to realize acute capture of early weak
disease characteristics; and performing power weighted accumulation on the abnormal pixel difference value, outputting a regional
hazard level index, and objectively quantifying the overall disaster risk of the region through nonlinear aggregation.