A multi-source data collaborative method and system for integrated air-space-ground interpretation of ophiolite mélange

Abstract

This invention provides a multi-source data collaborative method and system for integrated space-air-ground interpretation of ophiolite mélange, relating to the field of geological survey technology. The method includes: acquiring satellite and UAV remote sensing images of the target area; automatically identifying and extracting initial lithological boundaries and structural clues from the satellite and UAV remote sensing images using a convolutional neural network; obtaining the outcrop extent of the ophiolite mélange; collecting gravity, magnetic, and electrical resistivity data; using a conjugate gradient inversion algorithm to extrapolate the subsurface physical structure from the gravity, magnetic, and electrical resistivity data, constructing a subsurface physical structure model; and fusing the outcrop extent of the ophiolite mélange with the subsurface geophysical body structure model based on implicit modeling technology to obtain a geological-geophysical spatial structure interpretation map. This invention solves the technical problems of long analysis time and low interpretation accuracy in existing ophiolite mélange structures. It achieves the effect of improving the credibility of deep structural inferences and providing reliable geological structures.

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