Method and system for risk assessment of agricultural products in high geological background area of chromium and nickel

Abstract

The application discloses a chromium-nickel high geological background area agricultural product risk assessment method and system, relates to the chromium-nickel pollution monitoring technical field, first, laser echoes, binocular parallax and illumination changes are synchronously acquired in the same time window and are triplely aligned, and multi-modal original ranging signatures are generated; then, according to echo integrity and texture complexity, real-time reliability weights are calculated, and nuclear decay weighting is implemented on depth candidates; subsequently, target short-time motion coherent information is fused, and with the aid of residual learning network and Lyapunov criterion iterative correction, steady-state depth sequences are output; finally, based on Bayesian residual and heteroscedastic Gaussian process, pixel-level uncertainty boundaries are generated, and reliability weights are used to online adjust laser power, exposure time and frame rate, realizing a ranging, evaluation and acquisition parameter self-adaptive closed loop, and providing data support for fast, fine and reliable chromium-nickel pollution risk determination.

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