The invention relates to the technical field of hyperspectral
remote sensing image intelligent
processing and
hydrocarbon substance identification, in particular to an absorption characteristic-based hyperspectral
satellite image
hydrocarbon substance intelligent identification
algorithm, which comprises the following steps of: acquiring
original data of a hyperspectral
satellite image, and preprocessing to generate a surface reflectance data cube; a
wave band near 1100 nm is selected as a
feature recognition wave band, and spectrum
confusion is avoided; dynamically searching a
wave trough position in a range of 1095-1105 nm for each pixel spectrum curve, and establishing an absorption baseline; the absorption depth and the absorption area are calculated, and absorption characteristics are quantified; fusing the absorption depth, the absorption area and the trough
screening result to generate a pixel-level
absorption index map; and performing clustering analysis based on the
absorption index spectrum, and outputting a
hydrocarbon substance distribution confidence
classification result. The
algorithm adopts a dynamic
wave band selection and multi-
feature fusion mechanism, improves the accuracy and anti-interference performance of
weak signal identification, and is suitable for oil-gas exploration and environment monitoring application.