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An unsupervised adaptive hyperspectral remote sensing image denoising method

ActiveCN121437314BEffective denoisingImprove image quality
The application discloses a kind of unsupervised self-adapting hyperspectral remote sensing image denoising methods.The application includes the following steps: step S1.image preprocessing;Step S2.building unsupervised denoising framework and denoising model, the step S2 includes the following steps: S21.building unsupervised denoising framework;S22.building convolutional neural network denoising model;Step S3.model parameter update and stopping mechanism;Step S4.hyperparameter setting;Step S5.network inference and result output, step S1 after preprocessing hyperspectral remote sensing image and step S4 set hyperparameter input in step S2 building convolutional neural network denoising model, until it meets the stopping condition set in step S3, finally output denoising hyperspectral image.The application is applied to the technical field of remote sensing image processing.
Owner:ZHUHAI ORBIT SATELLITE BIG DATA CO LTD